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NVIDIA Research
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- https://mli0603.github.io/
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[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
To store all models and other assets related to glTF
[ECCV 2024] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
A solution to visualize and explore 3D models in your browser.
Easily display interactive 3D models on the web and in AR!
[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
💭 Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
Latent Point Diffusion Models for 3D Shape Generation
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields, ICCV'23 (Oral, Best Paper Finalist)
Continuous Remeshing For Inverse Rendering
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation