PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.

Toward Convolutional Blind Denoising of Real Photograph

Noise Flow: Noise Modeling with Conditional Normalizing Flows

Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"