Jiamian-Wang / Iterative-Soft-Shrinkage-SR
[ICCV2023 Official PyTorch code] for Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
☆27Updated last year
Alternatives and similar repositories for Iterative-Soft-Shrinkage-SR:
Users that are interested in Iterative-Soft-Shrinkage-SR are comparing it to the libraries listed below
- [ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"☆27Updated 2 years ago
- Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution (CVPRW 2023)☆26Updated last year
- [NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low…☆46Updated 10 months ago
- Pytorch implementation of our paper accepted by ECCV 2022 -- ARM: Any-Time Super-Resolution Method (https://arxiv.org/abs/2203.10812)