AlexZou14 / SCET
Self-Calibrated Efficient Transformer for Lightweight Super-Resolution (offical)
☆37Updated 2 years ago
Alternatives and similar repositories for SCET:
Users that are interested in SCET are comparing it to the libraries listed below
- This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…☆21Updated last year
- [NTIRE 2022, EfficientSR] MobileSR: A Mobile-friendly Transformer for Efficient Image Super-Resolution☆73Updated 2 years ago
- models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"☆73Updated 2 years ago
- Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)☆45Updated 2 years ago
- A PyTorch implementation of 'LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block'☆29Updated 2 years ago
- Official repository of KOALAnet (CVPR, 2021)☆38Updated 2 years ago
- Hierarchical Pixel Integration for Lightweight Image Super-Resolution☆33Updated 10 months ago
- ☆20Updated 2 years ago
- [NeurIPS 2022] ShuffleMixer: An Efficient ConvNet for Image Super-Resolution☆68Updated last year
- Sliding Window Recurrent Network for Efficient Video Super-Resolution, ECCVW 2022☆15Updated 2 years ago
- An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"☆34Updated 3 years ago
- ☆59Updated last year
- Implementation of 'KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution' (ECCV2022 Oral)☆24Updated last year
- Large Kernel Distillation Network for Efficient Single Image Super-Resolution☆35Updated last year
- Efficient Transformer for Single Image Super-Resolution☆33Updated 3 years ago
- Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)☆67Updated 10 months ago
- PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).☆51Updated last year
- Pytorch implementation for "A New Dataset and Transformer for Stereoscopic Video Super-Resolution"☆37Updated 2 years ago
- Y-NET: MULTI-SCALE FEATURE AGGREGATION NETWORK WITH WAVELETSTRUCTURE SIMILARITY LOSS FUNCTION FOR SINGLE IMAGE DEHAZING, ICASSP 2020☆30Updated 2 years ago
- A novel network for image reatoration. Mixed Hierarchy Network for Image Restoration.☆31Updated 3 months ago
- Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)☆53Updated 2 years ago
- This repository is an official PyTorch implementation of our paper "Cross-receptive Focused Inference Network for Lightweight Image Super…☆11Updated last year
- OverNet: lightweight multi-scale super-resolution with overscaling network☆23Updated 2 years ago
- Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"☆23Updated 2 years ago
- Official Pytorch Implementation for "SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Image Deraining"☆25Updated 2 years ago
- Official implementation of Memory-Augmented Non-Local Attention for Video Super-Resolution in CVPR 2022☆42Updated 2 years ago
- codes for CoMoNet (TCSVT2023)☆15Updated 8 months ago
- Residual Local Feature Network for Efficient Image Super-Resolution☆13Updated 2 years ago
- ☆22Updated 2 years ago
- Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"☆30Updated 3 years ago