962 Open source projects that are alternatives of or similar to A Pytorch Tutorial To Super Resolution

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Image-to-Image Translation in PyTorch

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Synthetic Data Generation for tabular, relational and time series data.

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

A modern PyTorch implementation of SRGAN

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

Pytorch deep learning face frontalization model

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Generate Cartoon Images using Generative Adversarial Network

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Awesome GAN for Medical Imaging

Composable GAN framework with api and user interface

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Image-to-image translation with conditional adversarial nets

A PyTorch implementation for StyleGAN with full features.

An implementation of CycleGan using TensorFlow

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Generative Adversarial Networks in Keras

Compute FID scores with PyTorch.

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Semantic Image Inpainting

OpenMMLab Image and Video Editing Toolbox

StarNet

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Discovering Interpretable GAN Controls [NeurIPS 2020]

🎎 InfoGAN: Interpretable Representation Learning

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

Voice Conversion using Cycle GAN's For Non-Parallel Data

Awesome Resources for Advanced Computer Vision Topics

Focal Frequency Loss for Generative Models

Unsupervised anomaly detection with generative model, keras implementation

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Bringing Old Photo Back to Life (CVPR 2020 oral)

Toward Multimodal Image-to-Image Translation

SpecGAN - generate audio with adversarial training

Generative Adversarial Networks and Autoencoders for 3D Shapes

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

3D super-resolution using Generative Adversarial Networks

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

Page to PAGE Layout Analysis Tool

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Projecting images to latent space with StyleGAN2.

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

Using Machine Learning to predict the type of exercise from movement data

Handwritten Chinese Characters Generation