zhengchen1999 / DAT
PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"
☆447Updated 2 months ago
Alternatives and similar repositories for DAT:
Users that are interested in DAT are comparing it to the libraries listed below
- Official code for "SRFormer: Permuted Self-Attention for Single Image Super-Resolution" (ICCV 2023) and SRFormerV2☆255Updated 6 months ago
- [CVPR2023] Implementation of ''Omni Aggregation Networks for Lightweight Image Super-Resolution".☆210Updated last year
- PyTorch code for our ICLR 2024 paper "Recursive Generalization Transformer for Image Super-Resolution"☆153Updated 2 months ago
- [CVPR 2024] CoSeR: Bridging Image and Language for Cognitive Super-Resolution☆336Updated 6 months ago
- [ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track i…☆312Updated 4 months ago
- [CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution☆489Updated 3 months ago
- neosr is an open-source framework for training super-resolution models.☆211Updated this week
- CAMixerSR: Only Details Need More “Attention” (CVPR 2024)☆259Updated 8 months ago
- Accepted by New Trends in Image Restoration and Enhancement workshop (NTIRE), in conjunction with CVPR 2024.☆259Updated 2 months ago
- ☆393Updated last year
- [ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop …☆601Updated 6 months ago
- [NeurlPS2024] One-Step Effective Diffusion Network for Real-World Image Super-Resolution☆317Updated 2 months ago
- CVPR2024 - Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary☆138Updated 7 months ago
- Official codes of CCSRv2 and CCSRv1: Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution☆504Updated 2 months ago
- BasicSR-Examples illustrates how to easily use BasicSR in your own project☆221Updated 2 years ago
- CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration☆1,304Updated 8 months ago
- [ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in th…☆709Updated 6 months ago
- Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)☆685Updated last year
- Swift Parameter-free Attention Network for Efficient Super-Resolution☆156Updated 7 months ago
- ☆311Updated last year
- PyTorch code for our NeurIPS 2023 paper "Hierarchical Integration Diffusion Model for Realistic Image Deblurring"☆198Updated last month
- [ICML 2024] See More Details: Efficient Image Super-Resolution by Experts Mining☆127Updated 7 months ago
- PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]☆385Updated 9 months ago
- Official pytorch implementation for "LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models"☆158Updated 6 months ago
- Semantic-Aware Discriminator for Image Super-Resolution☆134Updated 2 months ago
- [CVPR 2023] Effcient Frequence Domain-based Transformer for High-Quality Image Deblurring☆303Updated last year
- Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer☆108Updated 7 months ago
- PyTorch code for our paper "Image Super-Resolution with Text Prompt Diffusion"☆112Updated 2 months ago
- [ECCV2024] MambaIR and MambaIRv2!☆589Updated last month
- PyTorch code for our ICLR 2023 paper "Accurate Image Restoration with Attention Retractable Transformer".☆151Updated 2 years ago