SwinIR:使用 Swin Transformer 进行图像恢复(官方仓库)
image-sr 开源项目推荐(10 个)
image-sr 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 10
GitHub 共 10 个仓库,已全部展示[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr
Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
[ECCV 2024 - Oral] HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
[CVPR 2024] CFAT: Unleashing Triangular Windows for Image Super-resolution
Data Upcycling Knowledge Distillation for Image Super-Resolution (official repository)
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution (official repository)
LDIP (Long Distance Information Propagation) VSR and ReBaIR reference-based image SR — unofficial re-implementation
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 10 个项目;原始页面见 https://github.com/topics/image-sr。
- 该话题在 GitHub 上共有 10 个仓库, 本站收录的是其中最热门的 10 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 10 个项目累计 7116 Star,覆盖 1 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。