Stars
The codebase of our paper "Improving the Training of Rectified Flows"
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Lightplane implements a highly memory-efficient differentiable radiance field renderer, and a module for unprojecting features from images to 3D grids.
[ICCV 2023] Efficient Diffusion Training via Min-SNR Weighting Strategy
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models (CVPR 2024)
Multimodal learning for chemical domain, with SMILES and properties.
[CVPR 2024] Official pytorch implementation of "HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D"
[CVPR 2024] G3DR: Generative 3D Reconstruction in ImageNet
[CVPR'24] MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
[CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!
Implementation of MagViT2 Tokenizer in Pytorch
[CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
CVPR2023 | MVImgNet: A Large-scale Dataset of Multi-view Images
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields, ICCV'23 (Oral, Best Paper Finalist)
Vector (and Scalar) Quantization, in Pytorch
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Implementation of "Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision"
Code Release for RelPose++: Recovering 6D Poses from Sparse-view Observations
Official code for "HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion"