eth-siplab / RAP
Restore Anything Pipeline (RAP): Segment Anything Meets Image Restoration
☆70Updated last year
Alternatives and similar repositories for RAP:
Users that are interested in RAP are comparing it to the libraries listed below
- [PRCV 2023] RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution☆42Updated 6 months ago
- ICLR 2024 (Spotlight) - SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution☆51Updated last year
- Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy☆75Updated last year
- [ECCV 2022] Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations☆71Updated last year
- ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration☆102Updated 6 months ago
- Official implementation of our paper "Sagiri: LDR image enhancement by Generation".☆20Updated 3 months ago
- A Unified Conditional Framework for Diffusion-based Image Restoration☆88Updated last year
- Official implementation of "Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera"☆53Updated last year
- [CVPR2024] Official Code for the "AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution"☆53Updated last year
- Denoising Diffusion Post-Processing for Low-Light Image Enhancement☆57Updated 2 weeks ago
- A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution☆16Updated last year
- ECCV2024：A Comparative Study of Image Restoration Networks for General Backbone Network Design☆104Updated 4 months ago
- ☆92Updated 2 months ago
- (MM2023)CLE Diffusion: Controllable Light Enhancement Diffusion Model. Authors: Yuyang Yin, Dejia Xu, Chuangchuang Tan, Ping Liu, Yao Zh…☆70Updated last year
- Collaborative Feedback Discriminative Propagation for Video Super-Resolution☆42Updated last year
- Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation☆65Updated last year
- Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution (CVPRW 2023)☆26Updated last year
- [AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration☆35Updated last year
- The winner of NTIRE 2024 Blind Compressed Image Enhancement Challenge☆36Updated last year
- [CVPR 2025] Complexity Experts are Task-Discriminative Learners for Any Image Restoration☆58Updated last month
- Paper accepted by CVPR Workshop, NTIRE 2022☆28Updated last year
- LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution☆41Updated last year
- Official implementation of our IJCV paper☆37Updated last year
- ☆81Updated 3 months ago
- [CVPR 2024] Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning☆36Updated 11 months ago
- [arXiv 2023] Improving Image Restoration through Removing Degradations in Textual Representations☆85Updated last year
- Official implementation for our ICCV 2023 paper “Towards General Low-Light Raw Noise Synthesis and Modeling”☆68Updated last year
- MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces (ICCV 2023)☆58Updated last year
- This repository is the official implementation of our TPAMI paper : Self-Supervised Deep Blind Video Super-Resolution☆56Updated last year
- [ECCV 2024] The Official Code for "Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution"☆31Updated 9 months ago