Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network...
Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: S...
[ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Cha...
A faster pytorch implementation of faster r-cnn
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Synthesizing and manipulating 2048x1024 images with conditional GANs
Open-source Library of Image Super-Resolution Models, Datasets, and Metrics for Benchmarking or P...
Super Resolution of low resolution Images in PyTorch
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, ...