vivian210223 / arbitrary-scale-blind-SRLinks
Best of Both Worlds: Learning Arbitrary-scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency (WACV 2024)
☆13Updated last year
Alternatives and similar repositories for arbitrary-scale-blind-SR
Users that are interested in arbitrary-scale-blind-SR are comparing it to the libraries listed below
Sorting:
- Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset (Real-RawVSR), ECCV 2022☆63Updated last year
- A collection of aribitrary-scale or continuous super-resolution related papers and repositories.☆24Updated last year
- Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)☆70Updated last year
- Sliding Window Recurrent Network for Efficient Video Super-Resolution, ECCVW 2022☆15Updated 2 years ago
- ☆22Updated 2 years ago
- ☆62Updated 2 years ago
- ☆13Updated 11 months ago
- ☆44Updated 4 months ago
- This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023☆27Updated 2 years ago
- PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).☆58Updated 2 years ago
- Local AtrrLocal Attribution Maps (LAM)☆14Updated 2 years ago
- An Arbitrary-Scale Image Super-Resolution Framework (CVPR2023)☆46Updated 2 years ago
- Hierarchical Pixel Integration for Lightweight Image Super-Resolution☆32Updated last year
- Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)☆99Updated last year
- Low-light Raw Video Denoising with a High Quality Realistic Motion Dataset☆19Updated 2 years ago
- ☆36Updated 10 months ago
- This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".☆53Updated 2 years ago
- LFSRDiff: Light Field Image Super-Resolution via Diffusion Models☆14Updated last year
- Demo package for colab tutorial☆55Updated 4 years ago
- Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022☆145Updated 3 years ago
- [TPAMI 2025] Learning Efficient Deep Discriminative Spatial and Temporal Networks for Video Deblurring☆21Updated 4 months ago
- [TNNLS 2024] Real-World Light Field Image Super-Resolution via Degradation Modulation☆41Updated last year
- This repository is the official implementation of our TPAMI paper : Self-Supervised Deep Blind Video Super-Resolution☆59Updated last year
- Series solutions for Faster SR (NTIRE/ACCV)☆28Updated 3 months ago
- [TMM 2023] Exploiting Spatial and Angular Correlations With Deep Efficient Transformers for Light Field Image Super-Resolution☆14Updated 2 years ago
- PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"☆58Updated 3 years ago
- Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)☆96Updated 2 years ago
- [TPAMI] This repository is the official PyTorch implementation of "Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-…☆32Updated 11 months ago
- This repository is the official implementation of our ICCV2021 paper : Deep Blind Video Super-resolution☆54Updated 3 years ago
- models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"☆75Updated 2 years ago