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Oh wow! I just tested Splatt3R with my own data on my computer, which creates 3D Gaussian Splats at 4 FPS on uncalibrated 512x512 2D images! It's by far the fastest 3D reconstruction method, powered by MASt3R. Check out the video!

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MrNeRF

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67,464 görüntüleme • 1 yıl önce •via X (Twitter)

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Experimenting with using gaussian splats to create VR worlds where people can watch my video in full 3D It's also for socializing and taking selfies in the locations that I record each video (or see the things that I show off) This is one part of my "XR Travel Vlogging" idea..
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Experimenting with using gaussian splats to create VR worlds where people can watch my video in full 3D It's also for socializing and taking selfies in the locations that I record each video (or see the things that I show off) This is one part of my "XR Travel Vlogging" idea..

Brad Lynch

16,613 görüntüleme • 6 ay önce

Apple just trained a 3D Gaussian head reconstruction model on 10,000+ subjects. Feed-forward. No test-time optimization. New identity in, reconstructed Gaussian head out. The UV-parameterized Gaussian representation decouples the number of Gaussians from the number and resolution of input images, making it practical to train with many high resolution views. And the heads are not just static either: text-conditioned identity generation, plus blendshape-driven latent animation across identities. We've been building in the 3D Gaussian Splatting space for a while. The gap between "research demo" and "works on real people at scale" is closing fast.
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Apple just trained a 3D Gaussian head reconstruction model on 10,000+ subjects. Feed-forward. No test-time optimization. New identity in, reconstructed Gaussian head out. The UV-parameterized Gaussian representation decouples the number of Gaussians from the number and resolution of input images, making it practical to train with many high resolution views. And the heads are not just static either: text-conditioned identity generation, plus blendshape-driven latent animation across identities. We've been building in the 3D Gaussian Splatting space for a while. The gap between "research demo" and "works on real people at scale" is closing fast.

KIRI Engine - 3D Scanner App

12,181 görüntüleme • 2 ay önce

I just tested the Hitem3D V2.0 Beta It captures complex details with true print-grade geometry. We’re talking ready for 3D printing, CNC, and even laser cutting straight out of generation. Look at this incredible result down below. On the left side the image, on the right side the 3D Model
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I just tested the Hitem3D V2.0 Beta It captures complex details with true print-grade geometry. We’re talking ready for 3D printing, CNC, and even laser cutting straight out of generation. Look at this incredible result down below. On the left side the image, on the right side the 3D Model

Chubby♨️

64,565 görüntüleme • 7 ay önce

"Colorado, over the years… just chiseled away at my heart." Justin Simmons on making Colorado home - with Tom Green on 'The Other Tom Green Show'. Powered by:
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"Colorado, over the years… just chiseled away at my heart." Justin Simmons on making Colorado home - with Tom Green on 'The Other Tom Green Show'. Powered by:

Guerilla Sports

71,566 görüntüleme • 3 ay önce

📢GeomHair: Reconstruction of Hair Strands from Colorless 3D Scans📢 We present a novel method to reconstruct hair strands from colorless 3D scans by extracting orientation cues directly from the mesh surface geometry by finding local characteristic lines and from shaded renderings using a neural 2D line detector. We enhance the reconstruction with a diffusion prior trained on synthetic hair data and adapted to each scan using a tailored text prompt, allowing us to recover both simple and complex hairstyles without relying on color input. To support further research, we also introduce Strands400, the largest publicly available dataset of 3D hair strand reconstructions from real-world scans of 400 different people, featuring complicated hairstyles, such as ponytails and buns. 🌍 📷 Great work by Rachmadio Noval L. Artem Sevastopolsky Egor Zakharov @ness_pris
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📢GeomHair: Reconstruction of Hair Strands from Colorless 3D Scans📢 We present a novel method to reconstruct hair strands from colorless 3D scans by extracting orientation cues directly from the mesh surface geometry by finding local characteristic lines and from shaded renderings using a neural 2D line detector. We enhance the reconstruction with a diffusion prior trained on synthetic hair data and adapted to each scan using a tailored text prompt, allowing us to recover both simple and complex hairstyles without relying on color input. To support further research, we also introduce Strands400, the largest publicly available dataset of 3D hair strand reconstructions from real-world scans of 400 different people, featuring complicated hairstyles, such as ponytails and buns. 🌍 📷 Great work by Rachmadio Noval L. Artem Sevastopolsky Egor Zakharov @ness_pris

Matthias Niessner

12,490 görüntüleme • 1 yıl önce

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?
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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 görüntüleme • 1 yıl önce

Join us in 9 hours for the Christmas Phase Saga collab in 3D on my channel! I shot a quick preview video with Nitty just now!
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Join us in 9 hours for the Christmas Phase Saga collab in 3D on my channel! I shot a quick preview video with Nitty just now!

Malice Evermore ⏳👁️ Phase Connect

18,536 görüntüleme • 7 ay önce

So remember that time machine I told you about? I managed to sneek out another video from my visit to the future.. this time I captured video of a 3d artist creating assets for a short commercial. They sculpted the bird in the video with nothing but two controllers which they used to manipulate generative matter in 3d. The AI model changed in realtime and adopted their style of work, both based on the work they did on the scene, and on reference images they gave the system. Seeing the 3d model transform in realtime as they were working on it was incredible. When it started moving and reacted to their instructions, I knew it was time to return to the present :D #art #ai
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So remember that time machine I told you about? I managed to sneek out another video from my visit to the future.. this time I captured video of a 3d artist creating assets for a short commercial. They sculpted the bird in the video with nothing but two controllers which they used to manipulate generative matter in 3d. The AI model changed in realtime and adopted their style of work, both based on the work they did on the scene, and on reference images they gave the system. Seeing the 3d model transform in realtime as they were working on it was incredible. When it started moving and reacted to their instructions, I knew it was time to return to the present :D #art #ai

Martin Nebelong

22,044 görüntüleme • 2 yıl önce

NEW CLIP! Happy Monday All, We're in the last month of the year and I just want to thank everyone for all the love you've shown me. This was by far my best year in the industry looking at every metric. Check out this #footgagging scene with constance. Out now on my stores. #feet #toes #soles #MondayMotivaton Clips4sale Loyal Fans IWC ManyVids
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NEW CLIP! Happy Monday All, We're in the last month of the year and I just want to thank everyone for all the love you've shown me. This was by far my best year in the industry looking at every metric. Check out this #footgagging scene with constance. Out now on my stores. #feet #toes #soles #MondayMotivaton Clips4sale Loyal Fans IWC ManyVids

feetofcolor

12,200 görüntüleme • 1 yıl önce

🤗Another breakdown from an older project made for Lands of Noara . It was one of my first 2D VFX on a shot and a great project to direct and work on. I also made the motion design. Animated by the fantastic Makadam #blender #animation #3D #p2design
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🤗Another breakdown from an older project made for Lands of Noara . It was one of my first 2D VFX on a shot and a great project to direct and work on. I also made the motion design. Animated by the fantastic Makadam #blender #animation #3D #p2design

Pierrick Picaut

42,604 görüntüleme • 1 yıl önce

More coming soon ! I manage to integrate for the first time volumetric 3D video made with Kartel.ai inside the AI world generated in gaussian splatting by World Labs !! I coded all in three.js! And it's possible to integrate elements on the fly ;) And so you can imagine soon what we will produce with that en AI : consistency of character and environment, relighting etc...
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More coming soon ! I manage to integrate for the first time volumetric 3D video made with Kartel.ai inside the AI world generated in gaussian splatting by World Labs !! I coded all in three.js! And it's possible to integrate elements on the fly ;) And so you can imagine soon what we will produce with that en AI : consistency of character and environment, relighting etc...

Lovis Odin

33,984 görüntüleme • 1 yıl önce

Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.
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Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.

MrNeRF

52,849 görüntüleme • 1 yıl önce

Instead of going to filmschool, I made my first feature film Away which I started at 20 and finished at 24. I think the best way to learn is by making films so I did everything on my own. It went on to win the Contrechamp award in Annecy which gave me the opportunity to make Flow
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Instead of going to filmschool, I made my first feature film Away which I started at 20 and finished at 24. I think the best way to learn is by making films so I did everything on my own. It went on to win the Contrechamp award in Annecy which gave me the opportunity to make Flow

Gints Zilbalodis

1,346,104 görüntüleme • 1 yıl önce

Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction Note: Check below for full video. Abstract (cited): "In this paper, we present a self-calibrating framework that jointly optimizes camera parameters, lens distortion, and 3D Gaussian representations, enabling accurate and efficient scene reconstruction. Our technique is particularly effective for high-quality scene reconstruction from large field-of-view (FOV) imagery taken with wide-angle lenses, allowing the scene to be modeled from a smaller number of images. We introduce a novel method for modeling complex lens distortions using a hybrid network that combines invertible residual networks with explicit grids. This design effectively regularizes the optimization process, achieving greater accuracy than conventional camera models. Additionally, we propose a cubemap-based resampling strategy to support large FOV images without sacrificing resolution or introducing distortion artifacts. Our method is compatible with the fast rasterization of Gaussian Splatting, adaptable to a wide variety of camera lens distortions, and demonstrates state-of-the-art performance on both synthetic and real-world datasets."
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Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction Note: Check below for full video. Abstract (cited): "In this paper, we present a self-calibrating framework that jointly optimizes camera parameters, lens distortion, and 3D Gaussian representations, enabling accurate and efficient scene reconstruction. Our technique is particularly effective for high-quality scene reconstruction from large field-of-view (FOV) imagery taken with wide-angle lenses, allowing the scene to be modeled from a smaller number of images. We introduce a novel method for modeling complex lens distortions using a hybrid network that combines invertible residual networks with explicit grids. This design effectively regularizes the optimization process, achieving greater accuracy than conventional camera models. Additionally, we propose a cubemap-based resampling strategy to support large FOV images without sacrificing resolution or introducing distortion artifacts. Our method is compatible with the fast rasterization of Gaussian Splatting, adaptable to a wide variety of camera lens distortions, and demonstrates state-of-the-art performance on both synthetic and real-world datasets."

MrNeRF

17,206 görüntüleme • 1 yıl önce

EDGS: Eliminating Densification for Efficient Convergence of 3DGS Contributions: • We show that initial triangulation based on 2D correspondences can replace the incremental refinement process, fundamentally changing how 3DGS models allocate resources. • Our method reduces the path each Gaussian must travel in parameter space. Careful initialization not only accelerates convergence but also guides optimization toward a convergence point corresponding to lower reconstruction error and thus higher reconstruction quality. • Our approach outperforms both speed-optimized and quality-focused state-of-the-art models while using only half the splats of standard 3DGS. By improving initialization rather than altering the optimization process, this method is compatible with other 3DGS acceleration techniques, making it a flexible enhancement to existing models.
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EDGS: Eliminating Densification for Efficient Convergence of 3DGS Contributions: • We show that initial triangulation based on 2D correspondences can replace the incremental refinement process, fundamentally changing how 3DGS models allocate resources. • Our method reduces the path each Gaussian must travel in parameter space. Careful initialization not only accelerates convergence but also guides optimization toward a convergence point corresponding to lower reconstruction error and thus higher reconstruction quality. • Our approach outperforms both speed-optimized and quality-focused state-of-the-art models while using only half the splats of standard 3DGS. By improving initialization rather than altering the optimization process, this method is compatible with other 3DGS acceleration techniques, making it a flexible enhancement to existing models.

MrNeRF

124,131 görüntüleme • 1 yıl önce

🎉 Happy #PortfolioDay! I’m David, a 3D Animator with 2.5 years of experience on Overwatch and The Sims 4. My contract wraps up in March, and I’m excited to bring my passion for hand-keyed animation to a new team! Check out my work: Let’s connect! 🚀
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🎉 Happy #PortfolioDay! I’m David, a 3D Animator with 2.5 years of experience on Overwatch and The Sims 4. My contract wraps up in March, and I’m excited to bring my passion for hand-keyed animation to a new team! Check out my work: Let’s connect! 🚀

David Echeagaray

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This is me singing Bloody Stream by Coda from Jojo! At Nyana Banyana's Concert! Please check out the full video on her concert vod! Thank chu for having meee! It's my first time ever!!! I hope my peformance was cute and full of darkness!!! JOOOJOOOOOOOOOOOOOOOOOOOO!!! #NyanaFinalSummer3D
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This is me singing Bloody Stream by Coda from Jojo! At Nyana Banyana's Concert! Please check out the full video on her concert vod! Thank chu for having meee! It's my first time ever!!! I hope my peformance was cute and full of darkness!!! JOOOJOOOOOOOOOOOOOOOOOOOO!!! #NyanaFinalSummer3D

Remilia Nephys 🖤❤️【Phase Connect】

13,801 görüntüleme • 1 yıl önce

RETWEET THIS Y’ALL LOOK AT GOD. I PUT MY SHIRT ON BY MYSELF! I HOPE THIS INSPIRES SOMEONE! NOTHING BUT GOD PUTTING ON MY SHIRT ON MY OWN! I AM GETTING A-LOT FASTER AT DOING THIS! I REMEMBER WHEN I COULDN'T DO THIS! IT'S THE SMALL THINGS PEOPLE TAKE FOR GRANTED! #FINDAWAY
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RETWEET THIS Y’ALL LOOK AT GOD. I PUT MY SHIRT ON BY MYSELF! I HOPE THIS INSPIRES SOMEONE! NOTHING BUT GOD PUTTING ON MY SHIRT ON MY OWN! I AM GETTING A-LOT FASTER AT DOING THIS! I REMEMBER WHEN I COULDN'T DO THIS! IT'S THE SMALL THINGS PEOPLE TAKE FOR GRANTED! #FINDAWAY

COREY BORNER

29,610 görüntüleme • 15 gün önce

“I scared my dad… which I was trying to do” 🤪 Ollie Bearman takes on a hot lap with his father in the #Ferrari296GTB in Mugello, check out the full video on our YouTube channel 🔗 #FerrariRaces
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“I scared my dad… which I was trying to do” 🤪 Ollie Bearman takes on a hot lap with his father in the #Ferrari296GTB in Mugello, check out the full video on our YouTube channel 🔗 #FerrariRaces

Ferrari Races

53,660 görüntüleme • 2 yıl önce

It's finally done!! Wanted to make my fav character in low poly, believe it tutorial on how i made the clothing posted: Made in Blender 🔶 concept by Veron 🍏 - #naruto #shonen #anime #stylized #3d #handpainted #lowpoly #blender
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It's finally done!! Wanted to make my fav character in low poly, believe it tutorial on how i made the clothing posted: Made in Blender 🔶 concept by Veron 🍏 - #naruto #shonen #anime #stylized #3d #handpainted #lowpoly #blender

Cherylynn Lima

34,704 görüntüleme • 6 ay önce