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Introducing 🫂HUGS: Human Gaussian Splats - capable of creating animatable (3DGS) avatars from a casual video (50-100 frames) in ~30 mins. Our avatars can easily be embedded into other (NeRF) scenes. (1/4) Project: arXiv:

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Anurag Ranjan

2,738 subscribers

274,194 views • 2 years ago •via X (Twitter)

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Utilizing a massive library of high quality, free UGC avatars for your three.js project is way less difficult than you think. No animation baking required, can swap out any Mixamo animations in real time. Step 1. Download an avatar on VRoid Hub Step 2. Download a skinless Mixamo animation from Step 3. Paste this into claude code / codex / cursor chat Now you have avatars, animations and a function to apply animations to your avatars whenever you desire. Source code from the video is here:
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Utilizing a massive library of high quality, free UGC avatars for your three.js project is way less difficult than you think. No animation baking required, can swap out any Mixamo animations in real time. Step 1. Download an avatar on VRoid Hub Step 2. Download a skinless Mixamo animation from Step 3. Paste this into claude code / codex / cursor chat Now you have avatars, animations and a function to apply animations to your avatars whenever you desire. Source code from the video is here:

saori

14,962 views • 4 months ago

Bring new robot testing environments to life with World Labs and Isaac Sim. 🤖 If you can describe a world 🌎, you can start testing in it the same day. Learn how to: 1. Export scenes from World Labs' Marble as Gaussian splats 2. Convert to USD using NVIDIA Omniverse NuRec 3. Import into NVIDIA Isaac Sim 4. Add a robot and run the simulation Read the guide ➡️ #SIGGRAPHAsia2025
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Bring new robot testing environments to life with World Labs and Isaac Sim. 🤖 If you can describe a world 🌎, you can start testing in it the same day. Learn how to: 1. Export scenes from World Labs' Marble as Gaussian splats 2. Convert to USD using NVIDIA Omniverse NuRec 3. Import into NVIDIA Isaac Sim 4. Add a robot and run the simulation Read the guide ➡️ #SIGGRAPHAsia2025

NVIDIA Robotics

157,556 views • 7 months ago

The (Processing) Level Required to Be Super We’ve had clients ask us whether our 3D/4DGS capture and processing pipeline holds up in high-end VFX cinematic shots. Last year we were fortunate to work on the Superman production with Framestore (capturing Superman’s parents for a hologram), with our work shown on IMAX screens ~30 m high—so we’re confident the quality delivers. For this R&D preview, we ran test captures using an affordable off-the-shelf temporal plugin to reduce flicker and improve stability over time. We recorded @ 48fps from our 196x machine vision cameras and trained the 4DGS using Postshot at Ultra quality ~20 million splat resolution. What you’re seeing are stop-motion 3DGS frames. Each frame is an individual Gaussian Splat—processed to ~20 million splats for the full scene, then cropped and cleaned to ~6 million splats per frame. Our system—and the 3DGS process—picks up fine details like stray fine hairs, skin pores and woven cloth threads. Thanks for watching & stay super! Learn more @ #3DGS #4DGS #VFX #GaussianSplatting #IMAX #VolumetricCapture #Superman 4K Version here -
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The (Processing) Level Required to Be Super We’ve had clients ask us whether our 3D/4DGS capture and processing pipeline holds up in high-end VFX cinematic shots. Last year we were fortunate to work on the Superman production with Framestore (capturing Superman’s parents for a hologram), with our work shown on IMAX screens ~30 m high—so we’re confident the quality delivers. For this R&D preview, we ran test captures using an affordable off-the-shelf temporal plugin to reduce flicker and improve stability over time. We recorded @ 48fps from our 196x machine vision cameras and trained the 4DGS using Postshot at Ultra quality ~20 million splat resolution. What you’re seeing are stop-motion 3DGS frames. Each frame is an individual Gaussian Splat—processed to ~20 million splats for the full scene, then cropped and cleaned to ~6 million splats per frame. Our system—and the 3DGS process—picks up fine details like stray fine hairs, skin pores and woven cloth threads. Thanks for watching & stay super! Learn more @ #3DGS #4DGS #VFX #GaussianSplatting #IMAX #VolumetricCapture #Superman 4K Version here -

Infinite-Realities

44,109 views • 9 months ago

Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians paper page: Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups. In this paper, we propose Gaussian Head Avatar represented by controllable 3D Gaussians for high-fidelity head avatar modeling. We optimize the neutral 3D Gaussians and a fully learned MLP-based deformation field to capture complex expressions. The two parts benefit each other, thereby our method can model fine-grained dynamic details while ensuring expression accuracy. Furthermore, we devise a well-designed geometry-guided initialization strategy based on implicit SDF and Deep Marching Tetrahedra for the stability and convergence of the training procedure. Experiments show our approach outperforms other state-of-the-art sparse-view methods, achieving ultra high-fidelity rendering quality at 2K resolution even under exaggerated expressions.
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Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians paper page: Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups. In this paper, we propose Gaussian Head Avatar represented by controllable 3D Gaussians for high-fidelity head avatar modeling. We optimize the neutral 3D Gaussians and a fully learned MLP-based deformation field to capture complex expressions. The two parts benefit each other, thereby our method can model fine-grained dynamic details while ensuring expression accuracy. Furthermore, we devise a well-designed geometry-guided initialization strategy based on implicit SDF and Deep Marching Tetrahedra for the stability and convergence of the training procedure. Experiments show our approach outperforms other state-of-the-art sparse-view methods, achieving ultra high-fidelity rendering quality at 2K resolution even under exaggerated expressions.

AK

65,847 views • 2 years ago

home page hero ✨ Design notes: - "Forever" hero text dot pixel FX done in Unicorn Studio. (I will do a whole tutorial on this later. Unicorn's WebGL engine is absolutely wild and very powerful / robust) - built in Framer - I wanted to recreate the iOS unlock effect where your home screen icons cascade into place in a beautifully timed choreography. This took a lot of careful timing using Framer's "Appear" effect on the hero text and surrounding avatars because it was super important that we didn't lose the legibility of our main message ("Build Your Forever Audience") with all the animations. - If you look closely, the choreography is setup to lead your eye through the hero text first starting with "Build Your" then "Forever" and finally "Audience." - With those text layers in place + the surrounding avatars, there is a slight 1 sec pause before the remaining elements slide in below and above (How it works, CTA buttons, announcement badge, and lastly the main nav). - All told the entire loading sequence is 6 seconds - Custom particle system powers the interactive star field (the stars slowly gravitate to your pointer position, and the star field perspective changes ever so subtly as you move your mouse around on the page) - I have 3 shooting stars made of small white line layers that start out off canvas rotated at different angles that shoot across to another point off canvas at random times on a loop effect. - Given this hero scene is in space, I wanted the surrounding avatar elements to "float" in low gravity mode. For this I used Framer's loop effect that slowly oscillates the layer's y position. I then offset the delay of each element randomly to stagger the floating loop so each avatar floats independently/randomly - The final major treatment for this hero scene was the scroll animations on the avatars. I wanted to create a bit of a warp speed effect when you scroll down, as if the avatars were being pulled or sucked into a worm hole as you scroll down below this hero fold. - To accomplish this, I applied Framer's scroll transform affect set to "section in view" on each of the floating avatars, and set the "scroll to" position of the upper avatars to be much, much further away on the y-axis than the "scroll to" position of the lower avatars. (eg. -1700px on upper most avatars vs. -600px on lowest positioned avatars). This effectively causes the upper avatars to slide up off the hero canvas with much greater velocity than the lower positioned avatars. - And when you scroll back up to the hero section, the inverse happens where the lower positioned avatars "arrive back in place" from up above the hero canvas before the upper avatars come back into the scene and settle in place. - Overall I wanted this hero section to feel alive. The floating avatars, particle system with very subtle star movements, and the Caustics effect on the "Forever" text all sort of move at the pace of slow breathing - which is a great pace to create a sense of life and comfort in your scene. Conversion Results (so far) - When this new Framer site launched along with Calaxy v1.9 release on Base a couple weeks ago, we saw a surge in traffic, around 20k page views in the first few days. - Of those 20k hits, 11k visited the app install page ( - which is our main CTA - We saw around 10K new users in the first week after v1.9 launch Overall I'm very happy with the new site and early performance metrics. Lots of tweaking to do but its a good start. If you are a designer building in Framer - hit me with any questions on the above hero notes. Happy to share more specifics! 👾
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home page hero ✨ Design notes: - "Forever" hero text dot pixel FX done in Unicorn Studio. (I will do a whole tutorial on this later. Unicorn's WebGL engine is absolutely wild and very powerful / robust) - built in Framer - I wanted to recreate the iOS unlock effect where your home screen icons cascade into place in a beautifully timed choreography. This took a lot of careful timing using Framer's "Appear" effect on the hero text and surrounding avatars because it was super important that we didn't lose the legibility of our main message ("Build Your Forever Audience") with all the animations. - If you look closely, the choreography is setup to lead your eye through the hero text first starting with "Build Your" then "Forever" and finally "Audience." - With those text layers in place + the surrounding avatars, there is a slight 1 sec pause before the remaining elements slide in below and above (How it works, CTA buttons, announcement badge, and lastly the main nav). - All told the entire loading sequence is 6 seconds - Custom particle system powers the interactive star field (the stars slowly gravitate to your pointer position, and the star field perspective changes ever so subtly as you move your mouse around on the page) - I have 3 shooting stars made of small white line layers that start out off canvas rotated at different angles that shoot across to another point off canvas at random times on a loop effect. - Given this hero scene is in space, I wanted the surrounding avatar elements to "float" in low gravity mode. For this I used Framer's loop effect that slowly oscillates the layer's y position. I then offset the delay of each element randomly to stagger the floating loop so each avatar floats independently/randomly - The final major treatment for this hero scene was the scroll animations on the avatars. I wanted to create a bit of a warp speed effect when you scroll down, as if the avatars were being pulled or sucked into a worm hole as you scroll down below this hero fold. - To accomplish this, I applied Framer's scroll transform affect set to "section in view" on each of the floating avatars, and set the "scroll to" position of the upper avatars to be much, much further away on the y-axis than the "scroll to" position of the lower avatars. (eg. -1700px on upper most avatars vs. -600px on lowest positioned avatars). This effectively causes the upper avatars to slide up off the hero canvas with much greater velocity than the lower positioned avatars. - And when you scroll back up to the hero section, the inverse happens where the lower positioned avatars "arrive back in place" from up above the hero canvas before the upper avatars come back into the scene and settle in place. - Overall I wanted this hero section to feel alive. The floating avatars, particle system with very subtle star movements, and the Caustics effect on the "Forever" text all sort of move at the pace of slow breathing - which is a great pace to create a sense of life and comfort in your scene. Conversion Results (so far) - When this new Framer site launched along with Calaxy v1.9 release on Base a couple weeks ago, we saw a surge in traffic, around 20k page views in the first few days. - Of those 20k hits, 11k visited the app install page ( - which is our main CTA - We saw around 10K new users in the first week after v1.9 launch Overall I'm very happy with the new site and early performance metrics. Lots of tweaking to do but its a good start. If you are a designer building in Framer - hit me with any questions on the above hero notes. Happy to share more specifics! 👾

Chadd Weston

16,281 views • 9 months ago

After nearly 2 years of relentless preparation, we’re ready to unveil the next chapter of our journey. 1. We just launched our latest product the Cherry pad and we have a few other really exciting products that we are working on 2. 30+ projects in the pipeline will be partnering and integrating Cherry ecosystem products 3. Twitter spaces with industry leaders 4. Negotiating with major CEXes 5. The $CHERRY TGE. Over the next 30 days, Cherry will be going into hyperdrive, expanding the token utility of $CHERRY, and unlocking new cashflow streams from Cherry’s product ecosystem. We begin tomorrow.
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After nearly 2 years of relentless preparation, we’re ready to unveil the next chapter of our journey. 1. We just launched our latest product the Cherry pad and we have a few other really exciting products that we are working on 2. 30+ projects in the pipeline will be partnering and integrating Cherry ecosystem products 3. Twitter spaces with industry leaders 4. Negotiating with major CEXes 5. The $CHERRY TGE. Over the next 30 days, Cherry will be going into hyperdrive, expanding the token utility of $CHERRY, and unlocking new cashflow streams from Cherry’s product ecosystem. We begin tomorrow.

Cherry AI

38,232 views • 1 year ago

📢Announcing our 3D head avatar benchmark📢 Two tasks with hidden test sets: - Dynamic Novel View Synthesis on Heads - Monocular FLAME-driven Head Avatar Reconstruction Our goal is to make research on 3D head avatars more comparable and ultimately increase the realism of digital humans. The benchmark studies distinct phenomena of 3D head avatar creation, such as extreme facial expressions, slow motion captures of shaking long hair, or complicated light reflection and refraction patterns of glasses. The two benchmark tasks assess two core desiderata of 3D avatars: While the novel view synthesis challenge focuses on best possible rendering quality of complex moving scenes, the avatar animation challenge is concerned with how well a driving signal is translated into an avatar. Evaluations are light-weight and consist of diverse video recordings from the popular NeRSemble dataset with a hidden test set. Participation in the benchmark is therefore straight-forward and requires only 5 reconstructions per task. Leaderboard and benchmark submission: Benchmark data access and toolkit: Great work by Tobias Kirschstein Simon Giebenhain
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📢Announcing our 3D head avatar benchmark📢 Two tasks with hidden test sets: - Dynamic Novel View Synthesis on Heads - Monocular FLAME-driven Head Avatar Reconstruction Our goal is to make research on 3D head avatars more comparable and ultimately increase the realism of digital humans. The benchmark studies distinct phenomena of 3D head avatar creation, such as extreme facial expressions, slow motion captures of shaking long hair, or complicated light reflection and refraction patterns of glasses. The two benchmark tasks assess two core desiderata of 3D avatars: While the novel view synthesis challenge focuses on best possible rendering quality of complex moving scenes, the avatar animation challenge is concerned with how well a driving signal is translated into an avatar. Evaluations are light-weight and consist of diverse video recordings from the popular NeRSemble dataset with a hidden test set. Participation in the benchmark is therefore straight-forward and requires only 5 reconstructions per task. Leaderboard and benchmark submission: Benchmark data access and toolkit: Great work by Tobias Kirschstein Simon Giebenhain

Matthias Niessner

28,075 views • 1 year ago

Day 11 of MONEYMAXXING. We did a 12 hour livestream yesterday where we built PostShotClarity (chat named it not me I swear 😭😭). It is a tool to help streamers turn their clips into viral short form content, with features such as: 1. Reframing horizontal clips into vertical ones, with webcam cutouts and positioning. 2. Auto captioning with 10 viral caption styles. 3. Easily placement of viral meme sounds. It’s 100% free to use! Site and GitHub linked down below. In other news, Insightmaxxing is now incorporated as a Delaware C-corp, paperwork just gone through today. Will be chatting to investors in this upcoming week, also looking to hire a couple people as soon as funding is secured. In other other news, I finally found a good way to spend my $100k in Gemini credits! (hackathon winnings). Will be releasing a product tomorrow in collaboration with Miko, god of AI UGC. If you missed the stream, dw, I’m having my editor turn the vod into a full length YouTube video. Stay tuned!
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Day 11 of MONEYMAXXING. We did a 12 hour livestream yesterday where we built PostShotClarity (chat named it not me I swear 😭😭). It is a tool to help streamers turn their clips into viral short form content, with features such as: 1. Reframing horizontal clips into vertical ones, with webcam cutouts and positioning. 2. Auto captioning with 10 viral caption styles. 3. Easily placement of viral meme sounds. It’s 100% free to use! Site and GitHub linked down below. In other news, Insightmaxxing is now incorporated as a Delaware C-corp, paperwork just gone through today. Will be chatting to investors in this upcoming week, also looking to hire a couple people as soon as funding is secured. In other other news, I finally found a good way to spend my $100k in Gemini credits! (hackathon winnings). Will be releasing a product tomorrow in collaboration with Miko, god of AI UGC. If you missed the stream, dw, I’m having my editor turn the vod into a full length YouTube video. Stay tuned!

Nic0le

15,812 views • 3 months ago

📢 Our lab has been exploring 3D world models for years — and we’re thrilled to share **PhysTwin**: a milestone that reconstructs object appearance, geometry, and dynamics from just a few seconds of interaction! Led by the amazing Hanxiao Jiang 👉 PhysTwin combines **Gaussian splatting** with **inverse dynamics optimization** based on simple **spring-mass** systems. ⚙️ The result? Real-time, action-conditioned 3D video prediction under novel interactions (i.e., 3D world models). 🔑 A few key takeaways: 1. Having the right structure (e.g., particles/masses) helps navigate the trade-off between sample efficiency, generalization, and broad applicability. 2. Visual foundation models (VFMs) have matured to the point where they can provide rich supervision for world modeling (e.g., tracking, shape completion). 3. Beyond VFMs, many crucial components have come together in recent years: Gaussian splats for rendering, NVIDIA Warp for high-performance simulation, and scene/asset generation from a wide range of labs and companies. The future of 3D world models is looking bright! ✨ 4. The resulting digital twin supports a wide range of downstream applications—especially in data generation and policy evaluation, thanks to its realistic rendering and simulation capabilities. 🎥 All code and data to reproduce the results, along with interactive demos, are available on the website. Check the following visualizations of: (1) observations, (2) reconstructed state/actions, (3) interactive digital twins, and (4) the overlays between real-world robot teleoperation and our model’s open-loop predictions.
0:05

📢 Our lab has been exploring 3D world models for years — and we’re thrilled to share **PhysTwin**: a milestone that reconstructs object appearance, geometry, and dynamics from just a few seconds of interaction! Led by the amazing Hanxiao Jiang 👉 PhysTwin combines **Gaussian splatting** with **inverse dynamics optimization** based on simple **spring-mass** systems. ⚙️ The result? Real-time, action-conditioned 3D video prediction under novel interactions (i.e., 3D world models). 🔑 A few key takeaways: 1. Having the right structure (e.g., particles/masses) helps navigate the trade-off between sample efficiency, generalization, and broad applicability. 2. Visual foundation models (VFMs) have matured to the point where they can provide rich supervision for world modeling (e.g., tracking, shape completion). 3. Beyond VFMs, many crucial components have come together in recent years: Gaussian splats for rendering, NVIDIA Warp for high-performance simulation, and scene/asset generation from a wide range of labs and companies. The future of 3D world models is looking bright! ✨ 4. The resulting digital twin supports a wide range of downstream applications—especially in data generation and policy evaluation, thanks to its realistic rendering and simulation capabilities. 🎥 All code and data to reproduce the results, along with interactive demos, are available on the website. Check the following visualizations of: (1) observations, (2) reconstructed state/actions, (3) interactive digital twins, and (4) the overlays between real-world robot teleoperation and our model’s open-loop predictions.

Yunzhu Li

25,279 views • 1 year ago

Switzerland is experiencing its first migrant riots. Violence broke out in Lausanne after a 17-year-old drove a stolen scooter into a brick wall and died while trying to escape the police. Around 100 other young criminals later smashed up the neighborhood, clashed with the riot police and tried to lunch a local anti-immigration politician from the SVP party (as can be seen in the video below). For decades, Switzerland was spared the emergence of no-go zone in its larger cities as has happened in other countries in Western Europe, but increased immigration over the past 2 decades coupled with cultural influence from no-go zones in neighboring France means that this state of affairs is quickly coming to an end. 🇨🇭
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Switzerland is experiencing its first migrant riots. Violence broke out in Lausanne after a 17-year-old drove a stolen scooter into a brick wall and died while trying to escape the police. Around 100 other young criminals later smashed up the neighborhood, clashed with the riot police and tried to lunch a local anti-immigration politician from the SVP party (as can be seen in the video below). For decades, Switzerland was spared the emergence of no-go zone in its larger cities as has happened in other countries in Western Europe, but increased immigration over the past 2 decades coupled with cultural influence from no-go zones in neighboring France means that this state of affairs is quickly coming to an end. 🇨🇭

Visegrád 24

1,058,903 views • 11 months ago

A few months ago I posted this video and a man left a comment letting me know that he had been routinely leaving hate comments for months on my page until this video. He had only seen videos of me being visibly trans or talking about parts of my transition and fell for the propaganda that trans peoples entire identities revolve around our transness. Seeing this made him realize that wasn’t true. How could I possibly be just my transness and have developed skills in other aspects if my life was truly so 1 dimensional? He called me beautiful and promised to never mistreat me again and has gone on to leave encouraging comments every time he comes across my videos since. People get so stuck on our transness that they forget we’re human beings capable and consisting of so much more than the bits of our lives they see
0:15

A few months ago I posted this video and a man left a comment letting me know that he had been routinely leaving hate comments for months on my page until this video. He had only seen videos of me being visibly trans or talking about parts of my transition and fell for the propaganda that trans peoples entire identities revolve around our transness. Seeing this made him realize that wasn’t true. How could I possibly be just my transness and have developed skills in other aspects if my life was truly so 1 dimensional? He called me beautiful and promised to never mistreat me again and has gone on to leave encouraging comments every time he comes across my videos since. People get so stuck on our transness that they forget we’re human beings capable and consisting of so much more than the bits of our lives they see

alluringskull

261,128 views • 1 year ago

The ATG School One-Pager I’m not trying to reinvent schooling. There are just a handful of things I believe in which I haven’t seen in any school I’ve been around as a student or parent. Policy #1: Each student gets to be responsible for growing some of their own food, no matter how small, and THROUGHOUT schooling (not just a quickie project here or there). Policy #2: Minimum 1:1 ratio of time NOT SITTING IN THE CLASSROOM. What you do with this is up to you. There are so many real world skills, sports, gardening, music, etc. The strict ratio in the school day is the key for me. Common sense and personal interests can take it from there. Policy #3: Daily time to read whatever you want to read about. The biggest barrier for my reading was INTEREST. Be there to ensure the book is at their level, and to help them if they don’t understand something. Other than that, LET THEM ENJOY READING, ALL THE WAY THROUGH SCHOOL, not just in early years. Policy #4: (This is the most unusual yet the biggest reason I’m in education.) High school is a 50/50 bridge to winning in real life. Mornings are for actual work, making and SAVING UP MONEY. Afternoons are for learning finances and professional skills of YOUR INTEREST. With average work, you’ll finish school with $50,000-$100,000 in the bank, more skills than the norm, and a greater chance of creating your life and work from there on out, rather than conforming to make a paycheck. Policy #5: As part of the high school 50/50 system, ensure each student learns the adult financial red tape in your state/country before you’ve got bills, kids, etc.
0:12

The ATG School One-Pager I’m not trying to reinvent schooling. There are just a handful of things I believe in which I haven’t seen in any school I’ve been around as a student or parent. Policy #1: Each student gets to be responsible for growing some of their own food, no matter how small, and THROUGHOUT schooling (not just a quickie project here or there). Policy #2: Minimum 1:1 ratio of time NOT SITTING IN THE CLASSROOM. What you do with this is up to you. There are so many real world skills, sports, gardening, music, etc. The strict ratio in the school day is the key for me. Common sense and personal interests can take it from there. Policy #3: Daily time to read whatever you want to read about. The biggest barrier for my reading was INTEREST. Be there to ensure the book is at their level, and to help them if they don’t understand something. Other than that, LET THEM ENJOY READING, ALL THE WAY THROUGH SCHOOL, not just in early years. Policy #4: (This is the most unusual yet the biggest reason I’m in education.) High school is a 50/50 bridge to winning in real life. Mornings are for actual work, making and SAVING UP MONEY. Afternoons are for learning finances and professional skills of YOUR INTEREST. With average work, you’ll finish school with $50,000-$100,000 in the bank, more skills than the norm, and a greater chance of creating your life and work from there on out, rather than conforming to make a paycheck. Policy #5: As part of the high school 50/50 system, ensure each student learns the adult financial red tape in your state/country before you’ve got bills, kids, etc.

KneeOverToesGuy

31,525 views • 4 months ago

$KNDX 🏆 Here we are: #Altseason🔥 $ETH will flip $4K into support soon. You cannot fathom the heights we are going to reach. 📈 Don’t chase the hype. Find your high conviction bags. Kondux has all it takes to make it into the top 50 in 2025: ✅ First mover infrastructure use cases. ✅ Proprierary #LLMs for #AIAgents ✅ Hitting all hot narratives for 2025: #AI + #NFTs + #GameFi + #RWAs ✅ The first and only crypto project creating a tokenized pipeline for security and creator monetization using #OpenUSD ✅ Building the first of it’s kind 3D #NFT Marketplace where all Game avatars and in-game and/or #RWA assets can be traded on. ✅ The first and only crypto project joining NVIDIA Omniverse™ Cloud, Graphics Delivery Network (GDN), for real time 3D rendering. ✅ AI integrations powered by NVIDIA Omniverse ➡️ This is $LINK level innovation brought onto the Blockchain. Roadmap 2025 dropping soon. The catalysts are unreal. 🤯 Chart consolidating for the next massive leg up. 🚀 50M MC is so extremely undervalued. You are not ready for the next phase of Kondux 💰 New ATHs real soon. ⏳ $XRP $ADA $AIXBT #VIRTUAL $GOAT #GRIFFAIN $ACT $BEAM $RIO $ONDO $BYTES $PAAL $GPU $RENDER #ai16z $HYPE $IMX $APES
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$KNDX 🏆 Here we are: #Altseason🔥 $ETH will flip $4K into support soon. You cannot fathom the heights we are going to reach. 📈 Don’t chase the hype. Find your high conviction bags. Kondux has all it takes to make it into the top 50 in 2025: ✅ First mover infrastructure use cases. ✅ Proprierary #LLMs for #AIAgents ✅ Hitting all hot narratives for 2025: #AI + #NFTs + #GameFi + #RWAs ✅ The first and only crypto project creating a tokenized pipeline for security and creator monetization using #OpenUSD ✅ Building the first of it’s kind 3D #NFT Marketplace where all Game avatars and in-game and/or #RWA assets can be traded on. ✅ The first and only crypto project joining NVIDIA Omniverse™ Cloud, Graphics Delivery Network (GDN), for real time 3D rendering. ✅ AI integrations powered by NVIDIA Omniverse ➡️ This is $LINK level innovation brought onto the Blockchain. Roadmap 2025 dropping soon. The catalysts are unreal. 🤯 Chart consolidating for the next massive leg up. 🚀 50M MC is so extremely undervalued. You are not ready for the next phase of Kondux 💰 New ATHs real soon. ⏳ $XRP $ADA $AIXBT #VIRTUAL $GOAT #GRIFFAIN $ACT $BEAM $RIO $ONDO $BYTES $PAAL $GPU $RENDER #ai16z $HYPE $IMX $APES

Kaizer Chief

47,428 views • 1 year ago

📖THE BEST SEEDANCE 2.0 WORKFLOW STARTS INSIDE CHATGPT IMAGE 2 One creator can now go from storyboard to cinematic short film without a camera, actors, or a production crew Most creators use Seedance 2.0 as a video generator. The real power comes from combining ChatGPT Image 2 + Seedance 2.0 into a production pipeline. Here’s the workflow: 1.Create a story idea in ChatGPT. 2.Generate a shot-by-shot storyboard. 3. Build character sheets to lock consistency. 4.Generate every scene in ChatGPT Image 2. 5.Define camera movements and actions. 6.Animate each shot in Seedance 2.0. 7.Stitch the clips together into a finished short film. Why this works: • Consistent characters across scenes • Better storytelling • Precise camera control • Faster iteration • Professional-looking results • One person can do the work of an entire production team Use cases: ⁃Viral AI shorts ⁃YouTube animations ⁃Brand commercials ⁃Educational content ⁃Story-driven ads ⁃Social media content The future of AI video isn’t prompting. It’s building production pipelines. 📥Tomorrow I am sharing a workflow that almost nobody is using but absolutely should be. 🔖 The full breakdown from setup to final export is waiting in the pinned article.
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📖THE BEST SEEDANCE 2.0 WORKFLOW STARTS INSIDE CHATGPT IMAGE 2 One creator can now go from storyboard to cinematic short film without a camera, actors, or a production crew Most creators use Seedance 2.0 as a video generator. The real power comes from combining ChatGPT Image 2 + Seedance 2.0 into a production pipeline. Here’s the workflow: 1.Create a story idea in ChatGPT. 2.Generate a shot-by-shot storyboard. 3. Build character sheets to lock consistency. 4.Generate every scene in ChatGPT Image 2. 5.Define camera movements and actions. 6.Animate each shot in Seedance 2.0. 7.Stitch the clips together into a finished short film. Why this works: • Consistent characters across scenes • Better storytelling • Precise camera control • Faster iteration • Professional-looking results • One person can do the work of an entire production team Use cases: ⁃Viral AI shorts ⁃YouTube animations ⁃Brand commercials ⁃Educational content ⁃Story-driven ads ⁃Social media content The future of AI video isn’t prompting. It’s building production pipelines. 📥Tomorrow I am sharing a workflow that almost nobody is using but absolutely should be. 🔖 The full breakdown from setup to final export is waiting in the pinned article.

Zentrix⌚️

49,385 views • 1 month ago

Fantasy Season 1 Kick-Off 🎇 We're excited to announce the start of Fantasy Season 1, following the success of our Genesis Season! Celebrating the Kick-Off, the next Main Competition registration is now open 🏆 ⚡️ 44 ETH 🃏 Cards ✨ FAN points 💫 Stars In parallel, the next Tactic registrations are open with the most accessible prize distribution ever 🧩 This season, running until end of Q3, promises to be our best yet, positioning Fantasy to become the leading Social Betting App. Starting Today, 100% of the Tactics revenue (after Heroes rewards), including all the revenues generated so far, will be redirected to players. 🏁 🏆 50% will go into Main Competition Rewards. 🧩 50% will be distributed as Free Tactic Ticket Rewards. Our focus will be on enhancing the synergy between Main and Tactics, onboarding new users, and providing the most entertaining social betting experience on a large scale. Finally, during the season, the Main Competition rewards will offer at least twice the – eventual – GOLD compared to the tactics 🟡🟡 These improvements will be rolled out in parallel with our transition from Beta to a mobile-first V1. Learn More 🧵
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Fantasy Season 1 Kick-Off 🎇 We're excited to announce the start of Fantasy Season 1, following the success of our Genesis Season! Celebrating the Kick-Off, the next Main Competition registration is now open 🏆 ⚡️ 44 ETH 🃏 Cards ✨ FAN points 💫 Stars In parallel, the next Tactic registrations are open with the most accessible prize distribution ever 🧩 This season, running until end of Q3, promises to be our best yet, positioning Fantasy to become the leading Social Betting App. Starting Today, 100% of the Tactics revenue (after Heroes rewards), including all the revenues generated so far, will be redirected to players. 🏁 🏆 50% will go into Main Competition Rewards. 🧩 50% will be distributed as Free Tactic Ticket Rewards. Our focus will be on enhancing the synergy between Main and Tactics, onboarding new users, and providing the most entertaining social betting experience on a large scale. Finally, during the season, the Main Competition rewards will offer at least twice the – eventual – GOLD compared to the tactics 🟡🟡 These improvements will be rolled out in parallel with our transition from Beta to a mobile-first V1. Learn More 🧵

fantasy.top

99,036 views • 2 years ago

Dear Ashwini Vaishnaw ji, We are so happy that you are relaunching the IRCTC website in 30 days. Instead of working on CAPCHA, please ensure the following: 1. The Site should not crash during Tatkal bookings. Zero crashes especially during payments. 2. Ensure that Senior Citizens get Lower Berths (even now, many Senior citizens get Middle or Upper) even if they book a little later (Algorithm can be fixed) 3. Introduce More General Coaches to accommodate more Travelers 4. Strict Penalty for Unreserved Passengers occupying Reserved Seats. Work on AI cameras to detect this 5. RAC passengers should only pay half the fare for half the seat. So, once chart is prepared, please refund the 50% fare. This can easily be incorporated using simple technology. 6. If any train is delayed for more than 2 hours, refund should be issued automatically. 10% per hour delay. This can be done with some technology. 7. People's time should be valued. Tech can be used for the same. CAPCHA can wait. These things cannot !!! Request my audience to add more points so that the new website can have all these things in next 30 days 😍 #FI
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Dear Ashwini Vaishnaw ji, We are so happy that you are relaunching the IRCTC website in 30 days. Instead of working on CAPCHA, please ensure the following: 1. The Site should not crash during Tatkal bookings. Zero crashes especially during payments. 2. Ensure that Senior Citizens get Lower Berths (even now, many Senior citizens get Middle or Upper) even if they book a little later (Algorithm can be fixed) 3. Introduce More General Coaches to accommodate more Travelers 4. Strict Penalty for Unreserved Passengers occupying Reserved Seats. Work on AI cameras to detect this 5. RAC passengers should only pay half the fare for half the seat. So, once chart is prepared, please refund the 50% fare. This can easily be incorporated using simple technology. 6. If any train is delayed for more than 2 hours, refund should be issued automatically. 10% per hour delay. This can be done with some technology. 7. People's time should be valued. Tech can be used for the same. CAPCHA can wait. These things cannot !!! Request my audience to add more points so that the new website can have all these things in next 30 days 😍 #FI

Fundamental Investor ™ 🇮🇳

30,215 views • 1 month ago

My time in USA is coming to an end today Thanks to Bored Ape Yacht Club 🍌 deciding to make ApeFest in Las Vegas, I’m able to go to Los Angeles as my point of entry & exit in USA For the last 4 years, ApeFest has been a can’t miss event for me & a lot of my travel plans had been around it Only ApeFest can make web3 degens like us go the distance and take much needed breaks before, during, & after ApeFest No other NFT project can make their club members from 60+ countries travel the world just to be in ApeFest year in and year out It’s crazy if you think about it A lot of us call it our “annual monke pilgrimage” See you all again next year for the next ApeFest 😁🦍
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My time in USA is coming to an end today Thanks to Bored Ape Yacht Club 🍌 deciding to make ApeFest in Las Vegas, I’m able to go to Los Angeles as my point of entry & exit in USA For the last 4 years, ApeFest has been a can’t miss event for me & a lot of my travel plans had been around it Only ApeFest can make web3 degens like us go the distance and take much needed breaks before, during, & after ApeFest No other NFT project can make their club members from 60+ countries travel the world just to be in ApeFest year in and year out It’s crazy if you think about it A lot of us call it our “annual monke pilgrimage” See you all again next year for the next ApeFest 😁🦍

JBond

39,608 views • 8 months ago

From 25 Years of Data to 79% Winrate on Prediction Markets Indicators [38] - Moving averages: MA10, MA20, MA30 - RSI (overbought/oversold) - MACD / MACD_Signal (trend) - Bollinger Upper/Lower (volatility) - Volatility 10/20/30, OBV, momentum, sentiment, insider activity, etc Humans can't do that -> AI processes everything in seconds Here's how it works. The purpose of the model Not to predict the price It answers one question: “Will there be growth tomorrow?” Target1 = (close.shift(-1) > close).astype(int) # 1 → BUY, 0 → HOLD For the complete structure, you also need: - Neural network architecture - Monte Carlo Dropout (key point) - Trading logic Result: - Win rate 59–78% - 100+ trades per month → consistently profitable - The human brain is incapable of analyzing 38 indicators × 30 markets × 24/7 Therefore, this trader has already made $1.4 million in profit in 4 months You can find a full explanation of how this works at Noisy Original reading time: 15 min
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From 25 Years of Data to 79% Winrate on Prediction Markets Indicators [38] - Moving averages: MA10, MA20, MA30 - RSI (overbought/oversold) - MACD / MACD_Signal (trend) - Bollinger Upper/Lower (volatility) - Volatility 10/20/30, OBV, momentum, sentiment, insider activity, etc Humans can't do that -> AI processes everything in seconds Here's how it works. The purpose of the model Not to predict the price It answers one question: “Will there be growth tomorrow?” Target1 = (close.shift(-1) > close).astype(int) # 1 → BUY, 0 → HOLD For the complete structure, you also need: - Neural network architecture - Monte Carlo Dropout (key point) - Trading logic Result: - Win rate 59–78% - 100+ trades per month → consistently profitable - The human brain is incapable of analyzing 38 indicators × 30 markets × 24/7 Therefore, this trader has already made $1.4 million in profit in 4 months You can find a full explanation of how this works at Noisy Original reading time: 15 min

Alex

95,335 views • 4 months ago

You can't 3D reconstruct glass from images... ...WRONG! Thanks for video diffusion, now just about anything is possible! Introducing...Diffusion Knows Transparency (DKT) Transparent and reflective objects usually break robot vision and photogrammetry pipelines because they don't follow the "solid object" rules standard cameras expect. DKT is a new AI model that repurposes the "internal physics engine" found in video generation models to solve this problem. Researchers took a massive video diffusion model (WAN) and fine-tuned it using a custom-built synthetic dataset to turn it into a high-precision depth sensor. To train the AI, they built the first massive synthetic video library of transparent objects, 1.32 million frames of perfectly labeled glass and metal objects in motion. Without ever seeing a "real" labeled video of glass during training, the model (DKT) outperformed all previous specialized systems on real-world benchmarks (ClearPose, DREDS). They created a "lightweight" 1.3B parameter version that runs fast enough (0.17s per frame) to be used on actual robot hardware. Two reasons I find this project important: 1. It further proves that synthetic data will be essential for training the next generation vision models. 2. In real-world robotic tests, using DKT's depth maps nearly doubled the success rate of robot arms trying to pick up objects on tricky reflective or translucent surfaces. At home robots will need to interact with these types of objects on a daily basis. Check out the project page here: Code is LIVE! #Computervision #Robotics #AI
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You can't 3D reconstruct glass from images... ...WRONG! Thanks for video diffusion, now just about anything is possible! Introducing...Diffusion Knows Transparency (DKT) Transparent and reflective objects usually break robot vision and photogrammetry pipelines because they don't follow the "solid object" rules standard cameras expect. DKT is a new AI model that repurposes the "internal physics engine" found in video generation models to solve this problem. Researchers took a massive video diffusion model (WAN) and fine-tuned it using a custom-built synthetic dataset to turn it into a high-precision depth sensor. To train the AI, they built the first massive synthetic video library of transparent objects, 1.32 million frames of perfectly labeled glass and metal objects in motion. Without ever seeing a "real" labeled video of glass during training, the model (DKT) outperformed all previous specialized systems on real-world benchmarks (ClearPose, DREDS). They created a "lightweight" 1.3B parameter version that runs fast enough (0.17s per frame) to be used on actual robot hardware. Two reasons I find this project important: 1. It further proves that synthetic data will be essential for training the next generation vision models. 2. In real-world robotic tests, using DKT's depth maps nearly doubled the success rate of robot arms trying to pick up objects on tricky reflective or translucent surfaces. At home robots will need to interact with these types of objects on a daily basis. Check out the project page here: Code is LIVE! #Computervision #Robotics #AI

Jonathan Stephens

17,712 views • 6 months ago