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!

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…

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!

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…

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

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…

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

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/

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

(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.

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

Excited to announce the release of the Omniverse Kaolin App, with an update of #KaolinLibrary with new features and speedups!