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📢📢📢introducing 𝐏𝐨𝐰𝐞𝐫 𝐅𝐨𝐚𝐦 A 3D representation that can be ray traced or rasterized in real time, with NO COMPROMISE in quality. - Project: - arXiv: Rasterized at 3DGS-class FPS Ray traced at Radiant Foam speeds

Andrea Tagliasacchi

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95,057 次观看 • 2 个月前 •via X (Twitter)

教育科学技术

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(1/3) 📢📢𝐆𝐆𝐇𝐞𝐚𝐝 𝐅𝐚𝐬𝐭 𝐚𝐧𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐥𝐢𝐳𝐚𝐛𝐥𝐞 𝟑𝐃 𝐆𝐚𝐮𝐬𝐬𝐢𝐚𝐧 𝐇𝐞𝐚𝐝𝐬📢📢 #SiggraphAsia'24 We generate photo-realistic 3D heads and render them with Gaussian Splatting at 1k resolution in real-time.

(1/3) 📢📢𝐆𝐆𝐇𝐞𝐚𝐝 𝐅𝐚𝐬𝐭 𝐚𝐧𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐥𝐢𝐳𝐚𝐛𝐥𝐞 𝟑𝐃 𝐆𝐚𝐮𝐬𝐬𝐢𝐚𝐧 𝐇𝐞𝐚𝐝𝐬📢📢 #SiggraphAsia'24 We generate photo-realistic 3D heads and render them with Gaussian Splatting at 1k resolution in real-time.

Matthias Niessner

36,618 次观看 • 1 年前

Today we introduced two major graphical enhancements: advanced upscaling & ray-traced shadows. Upscaling is an innovative graphics technique that boosts game performance by rendering at a lower resolution and intelligently enhancing the image quality to match your display's native resolution. Ray-traced shadows offer unparalleled accuracy in shadow rendering. Read the full Dev Blog here: #EVEOnline #Tweetfleet

Today we introduced two major graphical enhancements: advanced upscaling & ray-traced shadows. Upscaling is an innovative graphics technique that boosts game performance by rendering at a lower resolution and intelligently enhancing the image quality to match your display's native resolution. Ray-traced shadows offer unparalleled accuracy in shadow rendering. Read the full Dev Blog here: #EVEOnline #Tweetfleet

EVE Online

60,855 次观看 • 11 个月前

📢📢📢 Today I'll be giving a talk at the #CVPR2024 workshop on "Learning 3D with Multi-View Supervision" See you at 16:20 in Summit 331 Get a preview of the upcoming "3D Gaussian Splatting as Markov Chain Monte Carlo"

📢📢📢 Today I'll be giving a talk at the #CVPR2024 workshop on "Learning 3D with Multi-View Supervision" See you at 16:20 in Summit 331 Get a preview of the upcoming "3D Gaussian Splatting as Markov Chain Monte Carlo"

Andrea Tagliasacchi @CVPR

47,167 次观看 • 2 年前

🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽 📢📢📢📢📢 OFFICIAL LAUNCH: November 8 08:00 PM UTC📢📢📢📢📢 OPYx [Opportunity Crypto DAO] : OPYx is DAO project born to make collective investments and have more economic power in this bearish phase, we buy and accumulate assets in Bear in order to sell assets in Bull and put gain in our pool by buy back or add liquidity. Our holder will choose asset by Goverance. We have already built our ecosystem to support our DAO ⚪️FILLED 80 BNB IN A SHORT TIME ON PINKSALE ⚪️ ✅DOXED ✅ HARD KYC ✅Audit ✔️Contract 100% Audited ✅✅: 0x7a656f418afc09eaF4AE8b75EAe74fE09E7A7706 ✔️1 Year LP Lock ✔️Experienced Team ✔️International Partnership ✔️Mining ✔️Marketplace/NFT ✔️Real Use case ✔️Mr. OPY NFT ✔️Asset investment ✔️Buy and Sell tax 0% ✔️Big Roadmap ✔️Staking with NTF Mr. OPY soon ✔️CMC & CG soon Ⓜ 🦎 ✉️ 🌐 ➡️ (task GAME on our server to win token) ❌ 🐰DIRECT LINK TO BUY:🐰

🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽🔽 📢📢📢📢📢 OFFICIAL LAUNCH: November 8 08:00 PM UTC📢📢📢📢📢 OPYx [Opportunity Crypto DAO] : OPYx is DAO project born to make collective investments and have more economic power in this bearish phase, we buy and accumulate assets in Bear in order to sell assets in Bull and put gain in our pool by buy back or add liquidity. Our holder will choose asset by Goverance. We have already built our ecosystem to support our DAO ⚪️FILLED 80 BNB IN A SHORT TIME ON PINKSALE ⚪️ ✅DOXED ✅ HARD KYC ✅Audit ✔️Contract 100% Audited ✅✅: 0x7a656f418afc09eaF4AE8b75EAe74fE09E7A7706 ✔️1 Year LP Lock ✔️Experienced Team ✔️International Partnership ✔️Mining ✔️Marketplace/NFT ✔️Real Use case ✔️Mr. OPY NFT ✔️Asset investment ✔️Buy and Sell tax 0% ✔️Big Roadmap ✔️Staking with NTF Mr. OPY soon ✔️CMC & CG soon Ⓜ 🦎 ✉️ 🌐 ➡️ (task GAME on our server to win token) ❌ 🐰DIRECT LINK TO BUY:🐰

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90,107 次观看 • 2 年前

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

Bilawal Sidhu

92,792 次观看 • 2 年前

3D Gaussian Splatting for Real-Time Radiance Field Rendering paper page: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.

3D Gaussian Splatting for Real-Time Radiance Field Rendering paper page: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.

AK

633,532 次观看 • 2 年前

Robots can now reconstruct 3D scenes in real time from a single RGB camera. [📍 Projects page + paper] No depth sensor. No retraining. 30 FPS. Researchers at the Imperial College London introduced KV-Tracker, a training-free method that makes heavy models like π³ and Depth Anything 3 fast enough for real-time tracking. The idea is simple. These models use global self-attention, which is powerful but computationally expensive. KV-Tracker caches the key and value pairs from selected keyframes and reuses them for new frames. That cache becomes an implicit scene representation. Result: • Up to 30 FPS • 10 to 15x speedup • Accurate 6-DoF tracking on benchmarks like TUM RGB-D and 7-Scenes • Works with monocular RGB only It also supports object-level tracking with masks and allows saving the KV-cache for later reuse. For robotics, this reduces hardware constraints and moves real-time 3D perception closer to practical deployment. Credit to Marwan Taher (Marwan Taher) at Imperial’s Dyson Robotics Lab and many others who contributed to this! 📍 Save projects page + paper for later: Video: ——- if it matters in AI or Robotics you'll read it here first:

Robots can now reconstruct 3D scenes in real time from a single RGB camera. [📍 Projects page + paper] No depth sensor. No retraining. 30 FPS. Researchers at the Imperial College London introduced KV-Tracker, a training-free method that makes heavy models like π³ and Depth Anything 3 fast enough for real-time tracking. The idea is simple. These models use global self-attention, which is powerful but computationally expensive. KV-Tracker caches the key and value pairs from selected keyframes and reuses them for new frames. That cache becomes an implicit scene representation. Result: • Up to 30 FPS • 10 to 15x speedup • Accurate 6-DoF tracking on benchmarks like TUM RGB-D and 7-Scenes • Works with monocular RGB only It also supports object-level tracking with masks and allows saving the KV-cache for later reuse. For robotics, this reduces hardware constraints and moves real-time 3D perception closer to practical deployment. Credit to Marwan Taher (Marwan Taher) at Imperial’s Dyson Robotics Lab and many others who contributed to this! 📍 Save projects page + paper for later: Video: ——- if it matters in AI or Robotics you'll read it here first:

Ilir Aliu

53,866 次观看 • 3 个月前

📢📢𝐍𝐞𝐑𝐒𝐞𝐦𝐛𝐥𝐞 𝐯𝟐 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 𝐑𝐞𝐥𝐞𝐚𝐬𝐞📢📢 Head captures of 7.1MP from 16 cameras at 73fps: * More recordings (425 people) * Better color calibration * Convenient download scripts The new version of our dataset adds 156 participants for a total of 425 different people. In its entirety, the dataset provides now 65 million images from over 15 hours of diverse human facial expression performances. We improved the color consistency of the recorded images with a better color calibration procedure. As a result, 3D reconstructions with images from the NeRSemble dataset should become better and look more realistic. Finally, we made it much easier to download the recordings with our new download repository. It now just takes a single command to download all frontal hair shake videos of all participants or to download all recordings of a single participant. Check it out: Awesome work by Tobias Kirschstein Simon Giebenhain !!!

📢📢𝐍𝐞𝐑𝐒𝐞𝐦𝐛𝐥𝐞 𝐯𝟐 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 𝐑𝐞𝐥𝐞𝐚𝐬𝐞📢📢 Head captures of 7.1MP from 16 cameras at 73fps: * More recordings (425 people) * Better color calibration * Convenient download scripts The new version of our dataset adds 156 participants for a total of 425 different people. In its entirety, the dataset provides now 65 million images from over 15 hours of diverse human facial expression performances. We improved the color consistency of the recorded images with a better color calibration procedure. As a result, 3D reconstructions with images from the NeRSemble dataset should become better and look more realistic. Finally, we made it much easier to download the recordings with our new download repository. It now just takes a single command to download all frontal hair shake videos of all participants or to download all recordings of a single participant. Check it out: Awesome work by Tobias Kirschstein Simon Giebenhain !!!

Matthias Niessner

12,089 次观看 • 1 年前

The concept of a wide-screen foldable smartphone can be traced back to a concept video Samsung showcased at CES 2013, 13 years ago. At the time, foldable phones were still a futuristic vision, far from becoming commercial products. Today, the Samsung Galaxy Z Fold 8, weighing just 201 grams and measuring only 4.5 mm when unfolded, is the lightest large foldable smartphone ever released by any brand. In many ways, it is beginning to resemble the futuristic device Samsung envisioned in that concept video more than a decade ago.

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“YG Entertainment makes ‘Living’ goods. The first line with BLACKPINKOFFICIAL.” “It is known that they are currently preparing to collaborate with various fashion companies[…] that can be used in real life, not a one-time item that is used only at the concert.” #블랙핑크 #BLACKPINK

Blinks United

35,514 次观看 • 1 年前

As announced in partnership with NVIDIA at CES, we’re excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)

As announced in partnership with NVIDIA at CES, we’re excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)

Stability AI

181,441 次观看 • 1 年前

Segment Any 3D Gaussians paper page: Interactive 3D segmentation in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation. However, existing methods face challenges in either achieving fine-grained, multi-granularity segmentation or contending with substantial computational overhead, inhibiting real-time interaction. In this paper, we introduce Segment Any 3D GAussians (SAGA), a novel 3D interactive segmentation approach that seamlessly blends a 2D segmentation foundation model with 3D Gaussian Splatting (3DGS), a recent breakthrough of radiance fields. SAGA efficiently embeds multi-granularity 2D segmentation results generated by the segmentation foundation model into 3D Gaussian point features through well-designed contrastive training. Evaluation on existing benchmarks demonstrates that SAGA can achieve competitive performance with state-of-the-art methods. Moreover, SAGA achieves multi-granularity segmentation and accommodates various prompts, including points, scribbles, and 2D masks. Notably, SAGA can finish the 3D segmentation within milliseconds, achieving nearly 1000x acceleration compared to previous SOTA.

Segment Any 3D Gaussians paper page: Interactive 3D segmentation in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation. However, existing methods face challenges in either achieving fine-grained, multi-granularity segmentation or contending with substantial computational overhead, inhibiting real-time interaction. In this paper, we introduce Segment Any 3D GAussians (SAGA), a novel 3D interactive segmentation approach that seamlessly blends a 2D segmentation foundation model with 3D Gaussian Splatting (3DGS), a recent breakthrough of radiance fields. SAGA efficiently embeds multi-granularity 2D segmentation results generated by the segmentation foundation model into 3D Gaussian point features through well-designed contrastive training. Evaluation on existing benchmarks demonstrates that SAGA can achieve competitive performance with state-of-the-art methods. Moreover, SAGA achieves multi-granularity segmentation and accommodates various prompts, including points, scribbles, and 2D masks. Notably, SAGA can finish the 3D segmentation within milliseconds, achieving nearly 1000x acceleration compared to previous SOTA.

AK

69,542 次观看 • 2 年前

Sakura vs Jinx, created with the AI Seedance 2.0. Artificial intelligence is evolving at an impressive speed. It is already capable of generating a fight between a 2D character and a 3D character in a way that feels natural and believable. What is even more surprising is that this can be created in just a few minutes with a single prompt. Something that previously required a large team, significant resources, and a long production time can now be generated with just one well-crafted prompt.

Sakura vs Jinx, created with the AI Seedance 2.0. Artificial intelligence is evolving at an impressive speed. It is already capable of generating a fight between a 2D character and a 3D character in a way that feels natural and believable. What is even more surprising is that this can be created in just a few minutes with a single prompt. Something that previously required a large team, significant resources, and a long production time can now be generated with just one well-crafted prompt.

nachos2d

239,523 次观看 • 4 个月前

3D $ANIME ? Using 3D in anime or a complete series in 3D style, how does this affect the anime industry? Probably the most hated anime after which people hated 3D in anime was Berserk in 2016, it was really terrible, but 3D in anime is no longer what it was in 2010-20. Let's look at the pros and cons of 3D in anime and what series can be called good 3D anime Pros of 3D Animation: 🟢Dynamic camera angles & smooth motion 🟢Saves time & production costs 🟢Consistent character proportions Cons of 3D Animation: 🔴Can look stiff or "plastic" 🔴Limited facial expressions 🔴Often disliked by traditional anime fans Top 3D $ANIME series in my opinion: 🔵Houseki no Kuni – stunning visuals & fluid animation 🔵Dorohedoro – dark, gritty style perfectly fits CGI 🔵Beastars – expressive character animation 🔵Trigun: Stampede – cinematic action & high-quality CGI The best studio that combines 2D and 3D well is, I think, Ufotable Ufotable blends 2D & 3D seamlessly: 🟡3D backgrounds + 2D character animation 🟡Anime-style shading makes 3D look hand-drawn 🟡Frame-by-frame touch-ups for smooth motion 🟡Mixing 2D effects (fire, water) with 3D for impact Example: "Demon Slayer" – epic battle scenes like Tanjiro’s Water Breathing, using 3D camera movement while preserving 2D aesthetics. Which 3D $ANIME impressed you the most?

3D $ANIME ? Using 3D in anime or a complete series in 3D style, how does this affect the anime industry? Probably the most hated anime after which people hated 3D in anime was Berserk in 2016, it was really terrible, but 3D in anime is no longer what it was in 2010-20. Let's look at the pros and cons of 3D in anime and what series can be called good 3D anime Pros of 3D Animation: 🟢Dynamic camera angles & smooth motion 🟢Saves time & production costs 🟢Consistent character proportions Cons of 3D Animation: 🔴Can look stiff or "plastic" 🔴Limited facial expressions 🔴Often disliked by traditional anime fans Top 3D $ANIME series in my opinion: 🔵Houseki no Kuni – stunning visuals & fluid animation 🔵Dorohedoro – dark, gritty style perfectly fits CGI 🔵Beastars – expressive character animation 🔵Trigun: Stampede – cinematic action & high-quality CGI The best studio that combines 2D and 3D well is, I think, Ufotable Ufotable blends 2D & 3D seamlessly: 🟡3D backgrounds + 2D character animation 🟡Anime-style shading makes 3D look hand-drawn 🟡Frame-by-frame touch-ups for smooth motion 🟡Mixing 2D effects (fire, water) with 3D for impact Example: "Demon Slayer" – epic battle scenes like Tanjiro’s Water Breathing, using 3D camera movement while preserving 2D aesthetics. Which 3D $ANIME impressed you the most?

Kvintestar⛩️ Anime Artist

15,599 次观看 • 1 年前

Human3R: Everyone Everywhere All at Once Note: I recorded the video from the interactive demo on their project page (linked in the comment below). Abstract (excerpt): Human3R jointly recovers global multi-person SMPL-X bodies ("everyone"), dense 3D scenes ("everywhere"), and camera trajectories in a single forward pass ("all-at-once"). Our method builds upon the 4D online reconstruction model CUT3R and uses parameter-efficient visual prompt tuning to preserve CUT3R's rich spatiotemporal priors while enabling direct readout of multiple SMPL-X bodies. Human3R is a unified model that eliminates heavy dependencies and iterative refinement. After being trained on the relatively small-scale synthetic dataset BEDLAM for just one day on one GPU, it achieves superior performance with remarkable efficiency: it reconstructs multiple humans in a one-shot manner, along with 3D scenes, in one stage, at real-time speed (15 FPS) with a low memory footprint (8 GB).

Human3R: Everyone Everywhere All at Once Note: I recorded the video from the interactive demo on their project page (linked in the comment below). Abstract (excerpt): Human3R jointly recovers global multi-person SMPL-X bodies ("everyone"), dense 3D scenes ("everywhere"), and camera trajectories in a single forward pass ("all-at-once"). Our method builds upon the 4D online reconstruction model CUT3R and uses parameter-efficient visual prompt tuning to preserve CUT3R's rich spatiotemporal priors while enabling direct readout of multiple SMPL-X bodies. Human3R is a unified model that eliminates heavy dependencies and iterative refinement. After being trained on the relatively small-scale synthetic dataset BEDLAM for just one day on one GPU, it achieves superior performance with remarkable efficiency: it reconstructs multiple humans in a one-shot manner, along with 3D scenes, in one stage, at real-time speed (15 FPS) with a low memory footprint (8 GB).

MrNeRF

35,783 次观看 • 9 个月前

GIVEAWAY ALERT!!! 🔴📢📢 this one's gonna be good! for this giveaway we are offering 1 metal gspot complete kit as well as 1 super safety 2 pos pa6cf printed kit and 1 nylon sloppy seconds kit, that's 3 winners! each winner will also receive a custom laser etched ash tray courtesy of BigSmellyWabo! so make sure you hit him up for custom work. RULES FOR ENTRY: simply follow us as well as like and repost, must be 18 or older and reside in the continental US! winners will be picked 8/1/2025 at 12pm cst, winners will be chosen randomly, no extra entries per shares etc. good luck to you guys, and if your interested in what we do check us out at Rusty forks

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GIVEAWAY ALERT!!! 🔴📢📢 this one's gonna be good! for this giveaway we are offering 1 metal gspot complete kit as well as 1 super safety 2 pos pa6cf printed kit and 1 nylon sloppy seconds kit, that's 3 winners! each winner will also receive a custom laser etched ash tray courtesy of BigSmellyWabo! so make sure you hit him up for custom work. RULES FOR ENTRY: simply follow us as well as like and repost, must be 18 or older and reside in the continental US! winners will be picked 8/1/2025 at 12pm cst, winners will be chosen randomly, no extra entries per shares etc. good luck to you guys, and if your interested in what we do check us out at Rusty forks

Pembleton & sons'

25,002 次观看 • 11 个月前

📢 Coming SOON to SwissBorg, $IMO ! 💚 You’ll soon be able to trade and hold IMO in your favourite app 📲 Swap from 15+ fiat currencies or nearly 400 crypto assets in just one tap, and earn up to 90% $BORG Cashback on fees depending on your Rank! 🏡 IMO is reinventing real estate investment through blockchain. By holding $IMO tokens, anyone can share in real-world rental income - a simple, modern way to invest in property without the hassle of ownership. Stay tuned, Borgers - more on this exciting project is coming soon. Follow IMO invest | $IMO and join us if you don't already have the app 🔗👇

📢 Coming SOON to SwissBorg, $IMO ! 💚 You’ll soon be able to trade and hold IMO in your favourite app 📲 Swap from 15+ fiat currencies or nearly 400 crypto assets in just one tap, and earn up to 90% $BORG Cashback on fees depending on your Rank! 🏡 IMO is reinventing real estate investment through blockchain. By holding $IMO tokens, anyone can share in real-world rental income - a simple, modern way to invest in property without the hassle of ownership. Stay tuned, Borgers - more on this exciting project is coming soon. Follow IMO invest | $IMO and join us if you don't already have the app 🔗👇

SwissBorg

40,244 次观看 • 8 个月前

🧊 Splats → Voxels: Bridging 3D Gaussian Splatting with Dynamic Voxels World Labs Just added this last tool to the GS editor plug-in that can convert any 3DGS splats into interactive voxel worlds with full physics support! 🚀 3 Rendering Modes: 🔵 CPU Mode - GameObjects for each voxel. Max physics interaction, perfect for destructible environments 🟢 GPU Mode - DrawMeshInstancedIndirect. Renders 100K+ voxels at 90fps. Pure visual, no physics overhead 🟡 Hybrid Mode - Best of both! GPU renders distant voxels Building this so you can literally punch through a GS World and watch it crumble 🥊 #GaussianSplatting #unity3d #GameDev #VR #3DGS #Voxels #Physics #madewithunity

🧊 Splats → Voxels: Bridging 3D Gaussian Splatting with Dynamic Voxels World Labs Just added this last tool to the GS editor plug-in that can convert any 3DGS splats into interactive voxel worlds with full physics support! 🚀 3 Rendering Modes: 🔵 CPU Mode - GameObjects for each voxel. Max physics interaction, perfect for destructible environments 🟢 GPU Mode - DrawMeshInstancedIndirect. Renders 100K+ voxels at 90fps. Pure visual, no physics overhead 🟡 Hybrid Mode - Best of both! GPU renders distant voxels Building this so you can literally punch through a GS World and watch it crumble 🥊 #GaussianSplatting #unity3d #GameDev #VR #3DGS #Voxels #Physics #madewithunity

Daniel Skaale

28,534 次观看 • 6 个月前

Mesmerizing 45-degree infinity module of the GA3D project in action. The GA3D Project is a “side-project” driven by a passion for the RepRap 3D printer theme, aiming to extend the RepRap/DIY (Do-It-Yourself) spirit to other processes and fields. The basic machine consists of a frame with a fixed table, and a 3-axis Cartesian robotic arm with CoreXY kinematics crossed in the XY plane. A very simple tool changer is located at both ends of the robotic arm. This makes it a modular machine that can be easily converted into any machine. Video Credit: Alain D. Geiser #3dprinting #3dprinter #additivetechnology #additivemanufacturing #engineering #technology

Mesmerizing 45-degree infinity module of the GA3D project in action. The GA3D Project is a “side-project” driven by a passion for the RepRap 3D printer theme, aiming to extend the RepRap/DIY (Do-It-Yourself) spirit to other processes and fields. The basic machine consists of a frame with a fixed table, and a 3-axis Cartesian robotic arm with CoreXY kinematics crossed in the XY plane. A very simple tool changer is located at both ends of the robotic arm. This makes it a modular machine that can be easily converted into any machine. Video Credit: Alain D. Geiser #3dprinting #3dprinter #additivetechnology #additivemanufacturing #engineering #technology

Wevolver

68,855 次观看 • 21 天前