N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution (CVPR2023 Accepted)
☆86Sep 26, 2023Updated 2 years ago
Alternatives and similar repositories for NGramSwin
Users that are interested in NGramSwin are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track i…☆373Dec 23, 2025Updated 3 months ago
- Demo package for colab tutorial☆58Nov 19, 2020Updated 5 years ago
- The offical implementation of "Lightweight Image Super-Resolution with Superpixel Token Interaction" (ICCV2023)☆96Dec 19, 2023Updated 2 years ago
- Official code for "SRFormer: Permuted Self-Attention for Single Image Super-Resolution" (ICCV 2023) and SRFormerV2☆303Jul 13, 2025Updated 9 months ago
- [CVPR2023] Implementation of ''Omni Aggregation Networks for Lightweight Image Super-Resolution".☆260Jul 23, 2023Updated 2 years 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.
- [CVPR 2024] CFAT: Unleashing Triangular Windows for Image Super-resolution☆92Jun 11, 2025Updated 10 months ago
- Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution☆24May 11, 2023Updated 2 years ago
- [ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution☆236Jul 20, 2022Updated 3 years ago
- Large Kernel Distillation Network for Efficient Single Image Super-Resolution☆40Oct 6, 2023Updated 2 years ago
- models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"☆77Nov 14, 2022Updated 3 years ago
- [NeurIPS 2022] ShuffleMixer: An Efficient ConvNet for Image Super-Resolution☆77May 2, 2023Updated 2 years ago
- [NeurIPS'22] Cross Aggregation Transformer for Image Restoration☆148Dec 8, 2024Updated last year
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆393Feb 17, 2024Updated 2 years ago
- PyTorch implementation of Single image super-resolution based on directional variance attention network (Pattern Recognition2022)☆21Apr 15, 2024Updated 2 years 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.
- [ICCV2023 Official PyTorch code] for Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution☆29Mar 10, 2024Updated 2 years ago
- ☆93Feb 19, 2025Updated last year
- This is the PyTorch implementation of paper: FSR (AAAI 2023 Oral).☆12Sep 12, 2023Updated 2 years ago
- [TPAMI 2025] Implementation of "Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution"☆15Mar 27, 2025Updated last year
- [AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution☆71Mar 23, 2023Updated 3 years ago
- CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer TPAMI - HAT: Hybrid Attention Transformer for Image Restoration☆1,514Jun 2, 2024Updated last year
- Pytorch implementation of our paper accepted by ECCV 2022 -- ARM: Any-Time Super-Resolution Method (https://arxiv.org/abs/2203.10812)☆82Sep 28, 2022Updated 3 years ago
- This project is the official implementation of 'Structured Sparsity Learning for Efficient Video Super-Resolution', CVPR2023☆96Dec 5, 2023Updated 2 years ago
- (NIPS 2022) Rethinking Alignment in Video Super-Resolution Transformers☆145Dec 1, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆19Sep 27, 2023Updated 2 years ago
- Omniscient Video Super-Resolution☆49Oct 16, 2021Updated 4 years ago
- Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"☆23Jun 9, 2022Updated 3 years ago
- [ECCV2022] Official Code for the "CADyQ: Content-Aware Dynamic Quantization for Image Super Resolution"☆61Aug 19, 2022Updated 3 years ago
- [CVPR 2024] Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning☆45May 19, 2024Updated last year
- [WACV'23] Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution☆93Oct 12, 2022Updated 3 years ago
- [CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts☆97May 14, 2024Updated last year
- NTIRE Workshop and Challenges @ CVPR 2024☆52Sep 21, 2024Updated last year
- Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)☆175Sep 19, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [ICLR'24] Recursive Generalization Transformer for Image Super-Resolution☆177Dec 8, 2024Updated last year
- Our work on foveated video super-resolution accepted by WACV 2023☆21Dec 31, 2022Updated 3 years ago
- Reciprocal Attention Mixing Transformer for Lightweight Image Restoration (CVPR 2024 Workshop)☆38Jun 13, 2024Updated last year
- Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution☆55Apr 27, 2025Updated 11 months ago
- [TIP-2025] Official Pytorch implementation of "Structural Similarity-Inspired Unfolding for Lightweight Image Super-Resolution"☆29Jul 8, 2025Updated 9 months ago
- PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).☆181Feb 27, 2022Updated 4 years ago
- ☆10Oct 17, 2023Updated 2 years ago