Stars
a programming library with geometric algorithms
Differentiable Rendering of Parametric Geometry (SIGGRAPH Asia 2023)
A beautiful, simple, clean, and responsive Jekyll theme for academics
Implementation of Apparant Lines for Line Drawing in OpenGL, C++
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.
implementation of the IPAdapter models for HF Diffusers
FaRL for Facial Representation Learning [Official, CVPR 2022]
Automation scripts for compute canada
A collection of resources and papers on Diffusion Models
[ICCV 2023] Text2Tex: Text-driven Texture Synthesis via Diffusion Models
Official Implementation of paper "A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence"
A unified framework for 3D content generation.
Optimized Stable Diffusion modified to run on lower GPU VRAM
This is a seed project for distributed PyTorch training, which was built to customize your network quickly
Primal-Dual Mesh Convolutional Neural Networks
some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!
Pytorch implementation of convolutional neural network visualization techniques
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
A curated list of awesome self-supervised methods
A python library for self-supervised learning on images.
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Paper bank for Self-Supervised Learning
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
A list of resources about deep learning solutions on 3D shape processing
A curated list of resources on implicit neural representations.