wtchengcv

wtchengcv's Stars

• wtchengcv/MVP

  Language:Python1

• yuval-alaluf/Attend-and-Excite

  Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

  Language:Jupyter Notebook69662

• wangkai930418/awesome-diffusion-categorized

  collection of diffusion model papers categorized by their subareas

  1.2k62

• Tony-Lowe/RotationDrag

  Language:Python32

• google/prompt-to-prompt

  Language:Jupyter Notebook3.1k289

• yuqwu/Replace-Anything

  A simple web application that lets you replace any part of an image with an image generated based on your description.

  Language:Python11314

• chiehwangs/3d-gaussian-theory

  A repository on how to understand the theory of 3D Gaussians Splatting

  977

• kwea123/gaussian_splatting_notes

  A detailed formulae explanation on gaussian splatting

  5129

• city-super/Scaffold-GS

  [CVPR 2024 Highlight] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

  Language:C++76666

• VITA-Group/LightGaussian

  [NeurIPS 2024 Spotlight]"LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS", Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang

  Language:Python58154

• autonomousvision/mip-splatting

  [CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting

  Language:Python1.1k68

• guoyww/AnimateDiff

  Official implementation of AnimateDiff.

  Language:Python10.5k866

• MrNeRF/awesome-3D-gaussian-splatting

  Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

  6k356

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python14.4k1.9k

• graphdeco-inria/diff-gaussian-rasterization

  Language:Cuda882273

• Fantasy-Studio/Paint-by-Example

  Paint by Example: Exemplar-based Image Editing with Diffusion Models

  Language:Python1.1k98

• LPengYang/FreeDrag

  Official Implementation of FreeDrag (CVPR 2024)

  Language:Python41120

• Yujun-Shi/DragDiffusion

  [CVPR2024, Highlight] Official code for DragDiffusion

  Language:Python1.2k86

• HAWLYQ/ET-Cap

  Language:Python252

• barbararoessle/e2e_multi_view_matching

  End2End Multi-View Feature Matching with Differentiable Pose Optimization

  Language:Python1969

• Tangshitao/MVDiffusion

  MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion, NeurIPS 2023 (spotlight)

  Language:Python49327

• cloneofsimo/lora

  Using Low-rank adaptation to quickly fine-tune diffusion models.

  Language:Jupyter Notebook7k481

• rinongal/textual_inversion

  Language:Jupyter Notebook2.9k280

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python30.2k2.7k

• facebookresearch/co-tracker

  CoTracker is a model for tracking any point (pixel) on a video.

  Language:Jupyter Notebook3.7k244

• Junyi42/sd-dino

  Official Implementation of paper "A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence"

  Language:Jupyter Notebook26813

• diffusion-hyperfeatures/diffusion_hyperfeatures

  Official PyTorch Implementation for Diffusion Hyperfeatures, NeurIPS 2023

  Language:Jupyter Notebook949

• google/dynibar

  Implementation of DynIBaR Neural Dynamic Image-Based Rendering (CVPR 2023)

  Language:Python85140

• Tsingularity/dift

  [NeurIPS'23] Emergent Correspondence from Image Diffusion

  Language:Python60832

• juho-lee/set_transformer

  Pytorch implementation of set transformer

  Language:Jupyter Notebook544103