PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
SwinIR: Image Restoration Using Swin Transformer (official repository)
Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)
TRI-ML Monocular Depth Estimation Repository
Official codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTor...
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The tr...
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
Pytorch codes for "Learning Spatial Attention for Face Super-Resolution", TIP 2020.
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This...
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Ne...
PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Reso...
Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)
Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: S...
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image gen...