AI Enthusiast, Research Scientist at NVIDIA
US / FR / CA
Joined August 2012
- Tweets177
- Following176
- Followers151
- Likes424
Fuji Tsang Clément retweeted
Most 3DGS segmentation tools either pre‑train per scene or lock errors into a feature field you can’t undo.
ArtisanGS instead turns a few 2D masks into editable 3D object selections via Cutie tracking + black‑box splat aggregation, then lets you iteratively correct mistakes with consistent 2D/3D selection modes.
📗 #NVIDIAResearch paper: arxiv.org/abs/2602.10173
Great session planned this thursday at 2:15pm! Making any renderer interactive and add physics simulation to your 3D representation in your Jupter notebook! Your representation or renderer is custom? We can handle it!
Come learn more about Kaolin and Simplicits by playing with interactive physics simulation in a Jupyter notebook tomorrow with @Caenorst and Anita Hu
So proud of the Kaolin team with our new release, join our Hands-on lab at #SIGGRAPH2024 to learn how Kaolin can improve your 3D Deep Learning workflow and enable interactive physics in your Jupyter notebook! s2024.conference-program.org…
✨Just announced: Representation agnostics physics simulation.
➡️ nvda.ws/3SuHUXZ This new framework is now available in the Kaolin Library.
Simulate:
✅Gaussian Splats
✅Neural Radiance Fields
✅Signed Distance Functions and more…
Fuji Tsang Clément retweeted
✨Just announced: Representation agnostics physics simulation.
➡️ nvda.ws/3SuHUXZ This new framework is now available in the Kaolin Library.
Simulate:
✅Gaussian Splats
✅Neural Radiance Fields
✅Signed Distance Functions and more…
Fuji Tsang Clément retweeted
Exciting news for #PyTorch enthusiasts: Our NVIDIA Kaolin library introduces SurfaceMesh class to simplify managing mesh attributes including consistency, auto-compute normals, & streamline indexing.
👀 See the video tutorial from #NVIDIAResearch
➡️ nvda.ws/4aRCi1D
Very proud to announce our newest release for #NVIDIAKaolin!
📣 #NVIDIAKaolin v0.15.0 is out!
With the latest release of our #Pytorch Library, extract a high quality #3D mesh for your SDF using Flexicube.
Have a look at the updated official repository using Kaolin's implementation: ➡️ nvda.ws/48vd7jz
🧵1/2 #NVIDIAResearch
Fuji Tsang Clément retweeted
So proud of my team for presenting the first interactive #texture #painting with #AI at #SIGGRAPHAsia2023 Real-Time Live. Well done Anita Hu and team!!
We want the artist to stay in control 🎨🖌️🤗
developer.nvidia.com/blog/nv…
Fuji Tsang Clément retweeted
If you want to visualize 3D Gaussian Splatting radiance fields *interactively* in a Jupyter Notebook, here's an easy recipe using Kaolin Library: youtube.com/watch?v=OcvA7fmi…
Excited about this new release, the interactive visualizer and SurfaceMesh class are strong improvements of QoL when debugging a renderer or a model. Great job from the team @_shumash @OrPerel @FidlerSanja @NVIDIAAI
📣 Just released: #NVIDIAKaolin v0.14.0
Accelerate 3D deep learning research, debug your custom renderer interactively in a Jupyter notebook, and manage batched mesh attributes with a SurfaceMesh container, within the Kaolin #Pytorch library.
Github: nvda.ws/3QeuDCr
Super excited about this release, Kaolin is now installable with a single command line!
Check out our tutorials on lighting:
Diffuse: github.com/NVIDIAGameWorks/k…
Specular: github.com/NVIDIAGameWorks/k…
Documentation: kaolin.readthedocs.io/en/lat…
📣 Just released: #NVIDIAKaolin v0.13.0
With new lighting features enabling #3D DL works like DIBR++ or NeRD, check out our tutorials on diffuse and specular reflectance. Kaolin is now pip installable.
Installation: nvda.ws/3YN40FY
Release notes: nvda.ws/3EbEYZ2
Fuji Tsang Clément retweeted
New demo for wisp! Kaolin's Structured Point Clouds (SPCs) can now be traced within the interactive visualizer.
SPCs can be converted from meshes, quantized point clouds and sparse voxel grids.
Check it out here:
github.com/NVIDIAGameWorks/k…
#NVIDIAKaolinWisp #Nvidia #neuralfields
Fuji Tsang Clément retweeted
Excited to share our #NeurIPS2022 @NVIDIAAI work GET3D, a generative model that directly produces explicit textured 3D meshes with complex topology, rich geometric details, and high fidelity textures. #3D
Project page: nv-tlabs.github.io/GET3D/
Fuji Tsang Clément retweeted
NeRF latents visualized? Check out our demo: the code for Wisp's SIGGRAPH 2022 session is now published online!
The original session recording is available on nvidia.com/en-us/on-demand/s…
#NVIDIAKaolinWisp #Nvidia #neuralfields
Super excited to announce our latest addition to the Kaolin suite! Congratz to the team @yongyuanxi @OrPerel @JoeyLitalien @_shumash @FidlerSanja
Are you interested in #NeRFs? NVIDIA Kaolin Wisp provides a framework and the building blocks for neural field research. nvda.ws/3Qkg7WT
Fuji Tsang Clément retweeted
(1/N) 🎷🎷🎷 Check out our work on Neural Kernel Fields (NKF) at #cvpr2022 at Halls B2-C! We present a new type of #neuralfields based on learned kernels. NKF pushes the state of the art in shape reconstruction from points and shows unprecedented generalization ability:
Hello @VFSGlobal @vfsglobalcare, I'm trying to help my GF to get a visa to France for family purposes, our flight is on the 23rd of June. The website is completely stuck, please help. I also tried with the French version and it just state that an error happened.
Fuji Tsang Clément retweeted
Just released: #NVIDIAKaolin 0.10.0!
New features of the launch include Volumetric rendering, additional features for tetrahedral meshes, and new support for materials with @OpenUSD importation.
Don’t forget to test our two new tutorials on 👉 nvda.ws/3sRiO87
Very excited to release Kaolin v0.9.1! Check out our new sparse octrees Structured Point Clouds, our lightweight visualizer Dash3D, and our latest optimizations and improvements! Go to github.com/NVIDIAGameWorks/k… to try it out!
Just released: 3D DL researchers can build on the latest algorithms to simplify and accelerate workflows using Kaolin PyTorch Library. Learn more: nvda.ws/3zKvgsD
Fuji Tsang Clément retweeted
Just released: 3D DL researchers can build on the latest algorithms to simplify and accelerate workflows using Kaolin PyTorch Library. Learn more: nvda.ws/3zKvgsD
Excited to announce the release of the Omniverse Kaolin App, with an update of #KaolinLibrary with new features and speedups!
Researchers can now take 3D #deeplearning into #NVIDIAOmniverse with the #NVIDIAKaolin app - advancing 3D training #visualization & data generation.
Combined with the updated #KaolinLibrary, research accelerates for a wide range of 3D applications.
🔗: nvda.ws/3mYvTcj