Alternatives and similar repositories for UCDIR

Users that are interested in UCDIR are comparing it to the libraries listed below

• Xiangtaokong / MiOIR
  Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy
  ☆83Updated last year
• longzilicart / pip_universal
  ☆53Updated 2 years ago
• leonmakise / ProRes
  ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
  ☆110Updated last year
• zhengchen1999 / CAT
  [NeurIPS'22] Cross Aggregation Transformer for Image Restoration
  ☆147Updated last year
• Andrew0613 / X-Restormer
  ECCV2024：A Comparative Study of Image Restoration Networks for General Backbone Network Design
  ☆135Updated last year
• wlydlut / C2F-DFT
  [CVIU 2024] Coarse-to-Fine Mechanisms Mitigate Diffusion Limitations on Image Restoration
  ☆43Updated last year
• lyh-18 / DegAE_DegradationAutoencoder
  Codes for CVPR2023 paper "DegAE: A New Pretraining Paradigm for Low-level Vision"
  ☆77Updated 2 years ago
• mandalinadagi / WGSR
  [CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
  ☆94Updated last year
• XLearning-SCU / 2023-CVPR-CODE
  PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
  ☆60Updated 2 years ago
• jiangyitong / AutoDIR
  ☆110Updated 11 months ago
• renyulin-f / MoE-DiffIR
  The code source of MoE-DiffIR
  ☆50Updated 10 months ago
• DarrenPan / Awesome-ICCV2023-Low-Level-Vision
  A Collection of Papers and Codes in ICCV2023/2021 about low level vision
  ☆196Updated 2 years ago
• jaroslaw1007 / CLIT
  ☆53Updated 7 months ago
• Aitical / MCLIR
  [AAAI 2024 & IJCV 2025] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
  ☆39Updated 4 months ago
• NeonLeexiang / DLGSANet
  ☆94Updated 11 months ago
• gladzhang / Xformer
  Xformer: Hybrid X-Shaped Transformer for Image Denoising
  ☆55Updated last year
• XYLGroup / DKP
  ☆67Updated last year
• eth-siplab / RAP
  Restore Anything Pipeline (RAP): Segment Anything Meets Image Restoration
  ☆72Updated 2 years ago
• c-yn / IRNeXt
  [ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration
  ☆75Updated last year
• alwaysuu / CLIPDenoising
  CVPR2024: Transfer CLIP for Generalizable Image Denoising
  ☆100Updated last year
• quyp2000 / XPSR
  [ECCV2024] XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution
  ☆78Updated last year
• yjsunnn / FBANet
  Official implementation of ICCV2023 "Towards Real-World Burst Image Super-Resolution: Benchmark and Method"
  ☆133Updated 2 years ago
• mrluin / TextualDegRemoval
  [arXiv 2023] Improving Image Restoration through Removing Degradations in Textual Representations
  ☆94Updated last year
• eduardzamfir / MoCE-IR
  [CVPR 2025] Complexity Experts are Task-Discriminative Learners for Any Image Restoration
  ☆127Updated last month
• Easquel / WaveDM
  Implementation code for WaveDM: Wavelet-Based Diffusion Models for Image Restoration.
  ☆70Updated 9 months ago
• nagejacob / SpatiallyAdaptiveSSID
  Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)
  ☆104Updated last year
• lixinustc / Causal-IR-DIL
  Distortion invariant feature learning for image restoration from a causality perspective
  ☆50Updated 2 years ago
• QianNing0 / UDL
  PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"
  ☆59Updated 4 years ago
• JaehaKim97 / SR4IR
  [CVPR 2024] Official implementation of "Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss"
  ☆63Updated 4 months ago
• savvaki / LPDM
  Denoising Diffusion Post-Processing for Low-Light Image Enhancement
  ☆58Updated 9 months ago