High-Resolution Image Synthesis with Latent Diffusion Models

Generative Models by Stability AI

A latent text-to-image diffusion model

High-Resolution Image Synthesis with Latent Diffusion Models

C++ implementation of Lie Groups using Eigen.

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

A list of hyperspectral image super-solution resources collected by Junjun Jiang

Image Correction via Deep Reciprocating HDR Transformation

PyTorch Tutorial for Deep Learning Researchers

A curated list of awesome Deep Learning tutorials, projects and communities.

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

Collection of popular and reproducible image denoising works.

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

A collection of state-of-the-art face hallucination methods

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Gradient Transfer Fusion

FusionGAN

Gated Fusion Network for Joint Image Deblurring and Super-Resolution(BMVC2018)

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

Deep Semantic Face Deblurring

Basic codes for Super-Resolution

HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave

An "infinite"-resolution GAN. It additionally produces interpretable results based on a photo editing model and reinforcement learning. (ACM Transactions on Graphics, presented at SIGGRAPH 2018)