Restore Anything Pipeline (RAP): Segment Anything Meets Image Restoration
☆73Sep 29, 2026Updated last month
Alternatives and similar repositories for RAP
Users that are interested in RAP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official Pytorch implementation of "Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration"☆27Sep 3, 2024Updated 2 years ago
- Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy☆88Mar 17, 2024Updated 2 years ago
- A Unified Conditional Framework for Diffusion-based Image Restoration☆94Jan 26, 2026Updated 9 months ago
- ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration☆110Oct 31, 2024Updated last year
- Awesome Diffusion Models in Low-Level Vision☆185Sep 27, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [ACM TOMM] 🎉Wakeup-Darkness: When Multimodal Meets Unsupervised Low-light Image Enhancement☆117Jan 13, 2025Updated last year
- PyTorch codes for "Iterative Token Evaluation and Refinement for Real-World Super-Resolution", AAAI 2024☆59Oct 23, 2024Updated 2 years ago
- The source code for "Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning" (ECCV26)☆17Oct 14, 2026Updated 2 weeks ago
- [CVIU 2024] Coarse-to-Fine Mechanisms Mitigate Diffusion Limitations on Image Restoration☆44Aug 20, 2024Updated 2 years ago
- Collaborative Feedback Discriminative Propagation for Video Super-Resolution☆44Apr 9, 2024Updated 2 years ago
- ☆85Sep 21, 2025Updated last year
- ☆13Jun 22, 2023Updated 3 years ago
- This is official implementtaion of "VmambaIR: Visual State Space Model for Image Restoration"☆235May 7, 2025Updated last year
- PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]☆550Apr 28, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation☆66Jul 3, 2023Updated 3 years ago
- HQ-50K: A Large-scale, High-quality Dataset for Image Restoration☆98May 9, 2024Updated 2 years ago
- Official Code for our CVPR2023 paper "Human Guided Ground-truth Generation for Realistic Image Super-resolution"☆131Jun 6, 2026Updated 4 months ago
- Official codes for DeSRA (ICML 2023)☆143Feb 2, 2024Updated 2 years ago
- [ECCV2024] The Official Code for "RealViformer: Investigating Attention for Real-World Video Super-Resolution"☆94Jul 22, 2024Updated 2 years ago
- From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution (ECCV 2022)☆123Oct 14, 2022Updated 4 years ago
- ☆421Mar 20, 2023Updated 3 years ago
- [NeurIPS'22] Cross Aggregation Transformer for Image Restoration☆152Dec 8, 2024Updated last year
- [CVPR 2026] DUO-VSR: Dual-Stream Distillation for One-Step Video Super-Resolution☆38Mar 23, 2026Updated 7 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Denoising Diffusion Post-Processing for Low-Light Image Enhancement☆61Apr 25, 2025Updated last year
- [ECCV 2022] Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution☆52Sep 3, 2026Updated last month
- Codes for Condformer (IJCV 2025)☆15Aug 8, 2025Updated last year
- PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)☆244Oct 18, 2023Updated 3 years ago
- The official PyTorch implementation of DeeDSR☆20Feb 28, 2025Updated last year
- ☆217Oct 13, 2026Updated 2 weeks ago
- Official repository for the paper "Random Shuffle Transformer for Image Restoration".