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Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Official implementation of "ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis"
A curated list of recent diffusion models for video generation, editing, and various other applications.
A pipeline to reconstruct 3d meshes based on Neural Radiance Fields
Pytorch Implementation of FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing (ICLR 2024)
KandinskyVideo — multilingual end-to-end text2video latent diffusion model
A sketch extractor for anime/illustration.
ECCV 2024 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2024论文和开源项目
Open-Sora: Democratizing Efficient Video Production for All
[EG 2023] Sketch Video Synthesis
High-resolution models for human tasks.
[NeurIPS 2023] Official implementation of the paper "DreamWaltz: Make a Scene with Complex 3D Animatable Avatars".
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Official implementation of the paper "Gaussian in the Wild: 3D Gaussian Splatting for Unconstrained Image Collections" [ECCV 2024]
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
[CVPR'24 Oral] Official Pytorch implementation for Semantic Human Mesh Reconstruction with Textures.
My Academic Website
[SIGGRAPH Asia 2024] StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting
The official pytorch implementation of the MICCAI 2021 paper "Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition"
Official repository of HUGS: Human Gaussian Splats (CVPR 2024)
Code of [CVPR 2024] "Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling"
Official repository for CVPR2024 paper "HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models"