Alternatives and similar repositories for Awesome-NeurIPS2023-Low-Level-Vision

Users that are interested in Awesome-NeurIPS2023-Low-Level-Vision are comparing it to the libraries listed below

• zhangyi-3 / UCDIR
  A Unified Conditional Framework for Diffusion-based Image Restoration
  ☆93Updated last year
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 3 years ago
• longzilicart / pip_universal
  ☆52Updated last year
• hanlinwu / SADN
  Scale-aware Super-resolution Network
  ☆19Updated last year
• leonmakise / ProRes
  ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
  ☆108Updated last year
• Xiangtaokong / MiOIR
  Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy
  ☆79Updated last year
• XLearning-SCU / 2023-CVPR-CODE
  PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).
  ☆58Updated 2 years ago
• csguoh / AdaptIR
  [NeurIPS2024] Tune your restoration model with one 3090 GPU!
  ☆79Updated 9 months ago
• sunny2109 / Awesome-low-level-vision-resources
  A curated list of resources for Low-level Vision Tasks
  ☆58Updated last year
• gladzhang / Xformer
  Xformer: Hybrid X-Shaped Transformer for Image Denoising
  ☆52Updated last year
• rami0205 / NGramSwin
  N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution (CVPR2023 Accepted)
  ☆86Updated 2 years ago
• lyh-18 / DegAE_DegradationAutoencoder
  Codes for CVPR2023 paper "DegAE: A New Pretraining Paradigm for Low-level Vision"
  ☆77Updated last year
• Aitical / MCLIR
  [AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
  ☆36Updated last month
• DeepMed-Lab-ECNU / DeepRFT-AAAI2023
  ☆21Updated 2 years ago
• wlydlut / C2F-DFT
  [CVIU 2024] Coarse-to-Fine Mechanisms Mitigate Diffusion Limitations on Image Restoration
  ☆42Updated last year
• XYLGroup / DKP
  ☆64Updated last year
• zhengchen1999 / CAT
  [NeurIPS'22] Cross Aggregation Transformer for Image Restoration
  ☆142Updated 11 months ago
• cszhilu1998 / SelfIR
  [NeurIPS 2022] Self-Supervised Image Restoration with Blurry and Noisy Pairs
  ☆46Updated 2 years ago
• jiexiaou / Stoformer
  Official repository for the paper "Stochastic Window Transformer for Image Restoration".
  ☆31Updated 2 years ago
• edbca / DARSR
  [ICCV 2023] Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution
  ☆21Updated last year
• jiexiaou / ShuffleFormer
  Official repository for the paper "Random Shuffle Transformer for Image Restoration".
  ☆17Updated last year
• alwaysuu / CLIPDenoising
  CVPR2024: Transfer CLIP for Generalizable Image Denoising
  ☆93Updated last year
• UCLA-VMG / GT-RAIN
  ☆39Updated 2 years ago
• jiahong-fu / KXNet
  [ECCV 2022 Oral🔥] KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
  ☆24Updated 2 years ago
• Yuehan717 / PDD
  [ECCV 2024] The Official Code for "Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution"
  ☆38Updated last year
• mandalinadagi / WGSR
  [CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
  ☆89Updated last year
• QianNing0 / UDL
  PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"
  ☆58Updated 4 years ago
• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆54Updated 3 years ago
• lixinustc / Causal-IR-DIL
  Distortion invariant feature learning for image restoration from a causality perspective
  ☆50Updated 2 years ago
• c-yn / IRNeXt
  [ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration
  ☆70Updated last year