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Type: Organization
Type: Organization
The implementation of "Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution" [WACV 2023].
This project is the official implementation of 'Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-Resolution', AAAI2022
art restoration using diffusion model.
Collect super-resolution related papers, data, repositories
Open Source Light Field Toolbox for Super-Resolution
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).
CADyQ: ContentsAware Dynamic Quantization for Image Super Resolution (ECCV 2022)
Official codes of CCSR: Improving the Stability of Diffusion Models for Content Consistent Super-Resolution
(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
Our work on foveated video super-resolution accepted by WACV 2023
Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)
CVPR2023 (highlight) - A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution
PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"
Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
[ICCV 2021 (Oral Presentation)] Dual-Camera Super-Resolution with Aligned Attention Modules (RefSR)
[TPAMI 2022] DistgASR: Disentangling Mechanism for Light Field Angular Super-Resolution
[TPAMI 2022] Disentangling Light Fields for Super-Resolution and Disparity Estimation
[TPAMI 2022] DistgSSR: Disentangling Mechanism for Light Field Statial Super-Resolution
Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution
Improving Scene Text Image Super-Resolution via Dual Prior Modulation Network (AAAI 2023)
PyTorch implementation of IEEE TPAMI 2021 paper: "Deep Spatial-angular Regularization for Light Field Imaging, Denoising, and Super-resolution".
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