正在加载视频...

视频加载失败

返回首页

Competition 2: Mesh Generation 🦾 Until now, our subnet has focused on Gaussian splats. That work led to integrations with Unity, building the world’s largest 3D dataset, and early application deployments with real users and organic traffic growth. 🕹️ The next step is clear. Developers want native mesh generation...

404gen_'s profile picture

404

4,004 subscribers

33,090 次观看 • 5 个月前 •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

With Scaniverse, you can discover, capture and share the world in 3D via mesh or a gaussian splat—So what's the main difference? SEE BELOW 👇
0:12

With Scaniverse, you can discover, capture and share the world in 3D via mesh or a gaussian splat—So what's the main difference? SEE BELOW 👇

Niantic

10,738 次观看 • 1 年前

🚀 Smash The Mesh (STM) is a #GodotEngine add-on that lets you break 3D meshes into multiple pieces and apply physics to each fragment! Now in BETA, with caching for quick loading. Open-source and free to download! Get it here: 🔧 #Godot4 #GameDev
0:16

🚀 Smash The Mesh (STM) is a #GodotEngine add-on that lets you break 3D meshes into multiple pieces and apply physics to each fragment! Now in BETA, with caching for quick loading. Open-source and free to download! Get it here: 🔧 #Godot4 #GameDev

Claudio Z.

25,166 次观看 • 1 年前

Tripo P1.0 is live. Introducing Smart Mesh in Tripo Studio — generate structured 3D meshes in ~2 seconds. ⚡ ~2s generation 🧠 Smart topology 🛠 Production-ready assets 🌍 Built for game pipelines, real-time rendering, web 3D tools, and scalable content production From prompt to usable mesh — almost instantly. Try it: #3DAI #3DCG #3dart #Tripo
0:00

Tripo P1.0 is live. Introducing Smart Mesh in Tripo Studio — generate structured 3D meshes in ~2 seconds. ⚡ ~2s generation 🧠 Smart topology 🛠 Production-ready assets 🌍 Built for game pipelines, real-time rendering, web 3D tools, and scalable content production From prompt to usable mesh — almost instantly. Try it: #3DAI #3DCG #3dart #Tripo

Tripo

44,373 次观看 • 3 个月前

📢 Meshy 6 is officially here! We're raising the bar for 3D character generation with smoother surfaces, sharper edges and more accurate anatomy. The mesh speaks for itself.
0:16

📢 Meshy 6 is officially here! We're raising the bar for 3D character generation with smoother surfaces, sharper edges and more accurate anatomy. The mesh speaks for itself.

MeshyAI

100,950 次观看 • 5 个月前

3DGS render blender add-on v3.0 ( was just open-sourced! With KIRI tools, you can use "3DGS to mesh" function to get a mesh from Gaussian splatting, and now you can convert the mesh back to Gaussian splatting. It's kind of ironic, but we just try to bring handy tools to everyone. #GaussianSplatting #Blender
0:13

3DGS render blender add-on v3.0 ( was just open-sourced! With KIRI tools, you can use "3DGS to mesh" function to get a mesh from Gaussian splatting, and now you can convert the mesh back to Gaussian splatting. It's kind of ironic, but we just try to bring handy tools to everyone. #GaussianSplatting #Blender

Chris make some 3D scans

39,221 次观看 • 1 年前

Curious about Radiance Field to Mesh research? Our next guest is Antoine Guédon, the author behind groundbreaking 3DGS-to-Mesh papers like SuGaR and Gaussian Frosting. Join us here, this Thursday at 3pm EST / 9pm CET 👇
0:15

Curious about Radiance Field to Mesh research? Our next guest is Antoine Guédon, the author behind groundbreaking 3DGS-to-Mesh papers like SuGaR and Gaussian Frosting. Join us here, this Thursday at 3pm EST / 9pm CET 👇

View Dependent

14,836 次观看 • 1 年前

📢 Automatic PBR : Image-to-material (I2M) 👉Textured Mesh in > Full PBR Mesh out Our latest foundation model for enriching existing 3D assets with the full array of PBR materials, whilst maintaining the same mesh geometry and UV unwrap. #I2M #PBR #CV #Marso #texturing #gamedev #computervision M-XR
0:20

📢 Automatic PBR : Image-to-material (I2M) 👉Textured Mesh in > Full PBR Mesh out Our latest foundation model for enriching existing 3D assets with the full array of PBR materials, whilst maintaining the same mesh geometry and UV unwrap. #I2M #PBR #CV #Marso #texturing #gamedev #computervision M-XR

Elliott Round

13,353 次观看 • 2 个月前

📢 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 次观看 • 1 年前

Today, we introduce The Legacy Mesh: the link between USDT deployments and the wider and more efficient USDT0 ecosystem. Live on Ethereum, TON 💎, Arbitrum, and TRON DAO, the Legacy Mesh is connecting $138B USDT in one system. Live now: Your USDT Anywhere, Now Everywhere.
0:17

Today, we introduce The Legacy Mesh: the link between USDT deployments and the wider and more efficient USDT0 ecosystem. Live on Ethereum, TON 💎, Arbitrum, and TRON DAO, the Legacy Mesh is connecting $138B USDT in one system. Live now: Your USDT Anywhere, Now Everywhere.

USDT0

349,922 次观看 • 1 年前

GSTAR: Gaussian Surface Tracking and Reconstruction Contributions: • A new framework for tracking and reconstructing dynamic scenes, combining 3D Gaussians and meshes to effectively manage changes in topology. • A method for Gaussian unbinding and surface re-meshing, allowing for the generation of new surfaces as topologies evolve. • A method for handling large or fast deformations of surfaces between frames using scene flow warping. Abstract (excerpt): However, tracking dynamic surfaces with 3D Gaussians remains challenging due to complex topology changes, such as surfaces appearing, disappearing, or splitting. To address these challenges, we propose GSTAR, a novel method that achieves photo-realistic rendering, accurate surface reconstruction, and reliable 3D tracking for general dynamic scenes with changing topology. Given multi-view captures as input, GSTAR binds Gaussians to mesh faces to represent dynamic objects. For surfaces with consistent topology, GSTAR maintains the mesh topology and tracks the meshes using Gaussians.
0:13

GSTAR: Gaussian Surface Tracking and Reconstruction Contributions: • A new framework for tracking and reconstructing dynamic scenes, combining 3D Gaussians and meshes to effectively manage changes in topology. • A method for Gaussian unbinding and surface re-meshing, allowing for the generation of new surfaces as topologies evolve. • A method for handling large or fast deformations of surfaces between frames using scene flow warping. Abstract (excerpt): However, tracking dynamic surfaces with 3D Gaussians remains challenging due to complex topology changes, such as surfaces appearing, disappearing, or splitting. To address these challenges, we propose GSTAR, a novel method that achieves photo-realistic rendering, accurate surface reconstruction, and reliable 3D tracking for general dynamic scenes with changing topology. Given multi-view captures as input, GSTAR binds Gaussians to mesh faces to represent dynamic objects. For surfaces with consistent topology, GSTAR maintains the mesh topology and tracks the meshes using Gaussians.

MrNeRF

22,698 次观看 • 1 年前

Mesh Gradient editor with real-time SwiftUI code generation.
0:12

Mesh Gradient editor with real-time SwiftUI code generation.

Haolun Yang

15,035 次观看 • 1 年前

✨ From Mesh to 3D Gaussians - Shaded in Deferred Style ✨ By Stefano Scolari (with link to repo in the comment) When converting a mesh to 3DGS model, the Gaussians are embedded with PBR properties and normal info during conversion. This prepares them for shading, similar to traditional geometry. In this scenario, Stefano used a deferred approach for shading to demonstrate how seamlessly it translates from triangle-based pipelines. 🔥 Fun fact: The mesh-to-splat conversion only needs to occur once, but it's so fast you could actually run it every frame. Here’s the full pipeline: - Mesh-to-splat conversion pass - Depth pre-pass - Sort - Gaussian pre-pass (projective computations, etc.) - GBuffer rendering pass - Shadow pass - Deferred lighting pass This is the same classic deferred pipeline, but with Gaussians instead of triangles. Real-time relighting of converted assets? Totally possible.
0:15

✨ From Mesh to 3D Gaussians - Shaded in Deferred Style ✨ By Stefano Scolari (with link to repo in the comment) When converting a mesh to 3DGS model, the Gaussians are embedded with PBR properties and normal info during conversion. This prepares them for shading, similar to traditional geometry. In this scenario, Stefano used a deferred approach for shading to demonstrate how seamlessly it translates from triangle-based pipelines. 🔥 Fun fact: The mesh-to-splat conversion only needs to occur once, but it's so fast you could actually run it every frame. Here’s the full pipeline: - Mesh-to-splat conversion pass - Depth pre-pass - Sort - Gaussian pre-pass (projective computations, etc.) - GBuffer rendering pass - Shadow pass - Deferred lighting pass This is the same classic deferred pipeline, but with Gaussians instead of triangles. Real-time relighting of converted assets? Totally possible.

MrNeRF

19,768 次观看 • 1 年前

Baking the SDF collision mesh sparsely via running marching cubes on world-space chunks. Each chunk's mesh is added to the physics sim as a static mesh body. When an SDF op is set to "dynamic" a dynamic body is created (and the op is longer included in the collision mesh).
0:16

Baking the SDF collision mesh sparsely via running marching cubes on world-space chunks. Each chunk's mesh is added to the physics sim as a static mesh body. When an SDF op is set to "dynamic" a dynamic body is created (and the op is longer included in the collision mesh).

Mike Turitzin

18,019 次观看 • 1 年前

Run Hunyuan3D TURBO Locally (NVIDIA GPU) These AI models are super fast indeed! Depending on machine (details in thread) it takes: - Mesh Generation: just 1~5sec - Mesh + Texture Generation: 30~100sec And now, the Hunyuan3D-GP gradio app supports them. Run on your PC!
0:11

Run Hunyuan3D TURBO Locally (NVIDIA GPU) These AI models are super fast indeed! Depending on machine (details in thread) it takes: - Mesh Generation: just 1~5sec - Mesh + Texture Generation: 30~100sec And now, the Hunyuan3D-GP gradio app supports them. Run on your PC!

cocktail peanut

61,163 次观看 • 1 年前

Roblox has introduced Mesh Streaming in early access, enabling larger, higher-fidelity, and better optimized games. This new technology dynamically manages the detail of mesh assets to improve performance on mobile and lower-end devices. Learn more:
0:12

Roblox has introduced Mesh Streaming in early access, enabling larger, higher-fidelity, and better optimized games. This new technology dynamically manages the detail of mesh assets to improve performance on mobile and lower-end devices. Learn more:

Bloxy News

45,092 次观看 • 3 个月前

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.
0:12

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

12,013 次观看 • 1 个月前

been working on a mod with origin (comms 0/3) where we tear doorman asunder diane made the base mesh for me to add some details. heres the before and after (red mesh = barely edited)
0:18

been working on a mod with origin (comms 0/3) where we tear doorman asunder diane made the base mesh for me to add some details. heres the before and after (red mesh = barely edited)

Py-Bun (Ɛ ಠ🔴ಠ 3)

25,265 次观看 • 1 个月前

Everyone talks about video generation models… But the real insane combo right now is Seedance 2 + Astra (Hyperion 2) in Topaz Labs Generate cinematic footage then instantly hit it with HDR, upscale and pro post-production in browser. This is next level.The real pro difference is happening more and more in post-production. Team Generation or Team Post-Prod?
0:15

Everyone talks about video generation models… But the real insane combo right now is Seedance 2 + Astra (Hyperion 2) in Topaz Labs Generate cinematic footage then instantly hit it with HDR, upscale and pro post-production in browser. This is next level.The real pro difference is happening more and more in post-production. Team Generation or Team Post-Prod?

Pierrick Chevallier | IA

66,580 次观看 • 1 个月前

I've had a play around with the new Sega Saturn emulator Ymir. It's in it's early stages but showing great promise with it's ease of use and deinterlacing and the ability to swap out mesh transparencies for the real thing, as you can see in the windows of the Lancia in Sega Rally
0:15

I've had a play around with the new Sega Saturn emulator Ymir. It's in it's early stages but showing great promise with it's ease of use and deinterlacing and the ability to swap out mesh transparencies for the real thing, as you can see in the windows of the Lancia in Sega Rally

Carl

18,356 次观看 • 11 个月前

And with that also comes the closer look at the hair!💇‍♀️ I'll be doing more in the future, but for now you have these options! (The manes are the same mesh with a blendshape)
0:10

And with that also comes the closer look at the hair!💇‍♀️ I'll be doing more in the future, but for now you have these options! (The manes are the same mesh with a blendshape)

TheMancojo

11,927 次观看 • 6 个月前