Stars
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
ENet - A Neural Net Architecture for real time Semantic Segmentation
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
🤖 wukong-robot 是一个简单、灵活、优雅的中文语音对话机器人/智能音箱项目，支持ChatGPT多轮对话能力，还可能是首个支持脑机交互的开源智能音箱项目。
Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using …
A benchmark platform for robot grasping detection, integrating awesome projects and classic grasp algorithms.
<CVPR 2025> UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping
Official code for "UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy" (CVPR 2023)
paper list of robotic grasping and some related works
人像matting数据集，包含34427张图像和对应的matting结果图。
A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]
OpenGL ES 3.0 Programming Guide Sample Code
fbc_cv is an open source image process library.
Pytorch implementation of FlowNet by Dosovitskiy et al.
this project is for PMRID's training and testing
DeepLab v3+ model in PyTorch. Support different backbones.
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
ICCV2023 | Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017