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Starred repositories
[CVPRW 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
A Graph-Based Approach for Category-Agnostic Pose Estimation [ECCV 2024]
TexasInstruments / edgeai-yolov5
Forked from ultralytics/yolov5This repository has been deprecated. Suggest to use edgeai-mmdetection in https://github.com/TexasInstruments/edgeai-tensorlab
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
[CVPR2019]Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
Official implementation for "Seagull: No-reference Image Quality Assessment for Regions of Interest via Visual-Language Instruction Tuning"
A comprehensive collection of IQA papers
Source code for the CVPR'20 paper "Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network"
mobilenetv3 with pytorch，provide pre-train model
[AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
[ECCV2024] DualDn: Dual-domain Denoising via Differentiable ISP. ⭐😤⭐💀 SOTA model for real-image denoising. 💀 Both in terms of denoising performance and generalization ability.
A PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.
PyTorch Quantization Aware Training(QAT,量化感知训练)
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
A camera ISP (image signal processor) pipeline that contains modules with simple to complex algorithms implemented at the application level.
[CVPR2021] Invertible Image Signal Processing
Pytorch implementation of MS-SSIM L1 Loss function
Learning to See Moving Objects in the Dark. ICCV 2019
computational zoom from raw sensor data
Unsupervised Deep Video Denoising, ICCV 2021
ying-fu / BRVE
Forked from zhanggengchen/BRVE[CVPR 2024] Binarized Low-light Raw Video Enhancement
[CVPR'22 Oral] Temporal Alignment Networks for Long-term Video. Tengda Han, Weidi Xie, Andrew Zisserman.
[ACM MM 2022] Real-time Streaming Video Denoising with Bidirectional Buffers