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RRSR: Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection
[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution
About [CVPR 2024] The official implementation of paper " Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving"
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
使用 C++ 11 重构陈硕的 muduo 库，去除 boost 依赖。内部实现有 HTTP 服务器，可支持 GET 请求。
对象存储分布式代理(object storage distrbuted proxy)，支持Docker一键部署
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
[CVPR 2024] Official code release of our paper "Diff-Plugin: Revitalizing Details for Diffusion-based Low-level tasks"
7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) 7天用Go动手写/从零实现系列
[IEEE TIP 2024] Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
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 …
one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment
Pytorch implementation of the paper "Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption".
Open-source and strong foundation image recognition models.
Official implementation of Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
Pytorch implementation of the paper "You Can Mask More For Extremely Low-Bitrate Image Compression".