XLearning-SCU / 2024-ICML-TAOLinks
PyTorch implementation for Test-Time Degradation Adaptation for Open-Set Image Restoration (ICML 2024, Spotlight)
☆15Updated last year
Alternatives and similar repositories for 2024-ICML-TAO
Users that are interested in 2024-ICML-TAO are comparing it to the libraries listed below
Sorting:
- [TIP 2024] Official Implementation of "Neural Degradation Representation Learning for All-In-One Image Restoration"☆32Updated 8 months ago
- ☆89Updated 5 months ago
- [CVPR 2025] Complexity Experts are Task-Discriminative Learners for Any Image Restoration☆73Updated 4 months ago
- Offical implementation of Universal Image Restoration Pre-training via Degradation Classification (ICLR2025).☆56Updated 5 months ago
- Codes of Interpreting Low-level Vision Models with Causal Effect Maps☆28Updated 6 months ago
- The Local Attribution Map (LAM) is an interpretability tool for super-resolution reconstruction tasks. 局部归因图(Local Attribution Map,LAM)是一…☆17Updated last month
- Official PyTorch implementation of "Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers" in ECCV 2024.☆33Updated 9 months ago
- [2023 TIP] An Efficient Multiscale Spatial Rearrangement MLP Architecture for Image Restoration.☆11Updated last year
- ☆23Updated 5 months ago
- [NeurIPS23] PromptRestorer: A Prompting Image Restoration Method with Degradation Perception☆15Updated 11 months ago
- [AAAI24] SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency☆19Updated last year
- [ECCV 2024] Prompt-based test-time real image dehazing: a novel pipeline☆42Updated 8 months ago
- [ECCV‘24] Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint☆37Updated 8 months ago
- ☆47Updated 11 months ago
- This is a summary of research on All-In-One Image/Video Restoration. There may be omissions. If anything is missing please get in touch w…☆191Updated 6 months ago
- [CVPR 2024] Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring☆30Updated last year
- [arXiv 2024] LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration☆69Updated last month
- [AAAI 25] Debiased All-in-one Image Restoration with Task Uncertainty Regularization☆17Updated 6 months ago
- ☆24Updated last year
- [AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration☆35Updated last year
- [NeurIPS2024 Spotlight] Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network☆60Updated 2 months ago
- ☆73Updated 3 months ago
- Here is the code for the TPAMI paper: Advancing Real-World Image Dehazing:Perspective, Modules, and Training.☆27Updated 6 months ago
- [CVPR 2025] Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing☆30Updated last month
- Official code for Zero-Reference Low-Light Enhancement via Physical Quadruple Priors (CVPR-24)☆94Updated last year
- ☆39Updated 11 months ago
- GitHub repository for our project "Efficient Degradation-aware Any Image Restoration"☆31Updated 4 months ago
- This repository provides the official implementation for the following paper.☆10Updated 6 months ago
- ☆53Updated 2 months ago
- Distilling Semantic Priors from SAM to Efficient Image Restoration Models☆15Updated last year