594 Open source projects that are alternatives of or similar to 3d Gan Superresolution

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

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Awesome Resources for Advanced Computer Vision Topics

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

A modern PyTorch implementation of SRGAN

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

Awesome GAN for Medical Imaging

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

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

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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

Modeling Artistic Workflows for Image Generation and Editing (ECCV 2020)

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Reimplementation of cycle-gan(https://arxiv.org/pdf/1703.10593.pdf) with improved w-gan(https://arxiv.org/abs/1704.00028) loss in tensorflow.

Visualization of GAN training process

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

Discovering Interpretable GAN Controls [NeurIPS 2020]

Compute FID scores with PyTorch.

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

The py version of toflow → https://github.com/anchen1011/toflow

Matlab reimplementation of SCNSR

Add colors to black and white images with neural networks (GANs).

torch implementation of srgan

TensorFlow GAN implementation using Gumbel Softmax

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.

Pytorch implementation of pix2pix for various datasets.

Re-implement CycleGAN in Tensorlayer

A Keras implementation of image deblurring based on ICCV 2017 paper "Deep Generative Filter for motion deblurring"

Comparison of Generative Models in Tensorflow

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Modified h5tool.py make user getting celeba-HQ easier

Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Privacy-preserving generative deep neural networks support clinical data sharing

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

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

A very simple generative adversarial network (GAN) in PyTorch

Tensorflow Implementation of GAN modeling for sequential data

Chainer implementation of Wasserstein GAN

SpecGAN - generate audio with adversarial training

A MNIST-like fashion product database. Benchmark 👇

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

Image-to-image translation with conditional adversarial nets

《深度学习与计算机视觉》配套代码

'Expanding Brain' Meme Generator

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

CPU/GPU/TPU implementation of the Fréchet Inception Distance

learn code with tensorflow

Unity Post Processing with Convolution Neural Network

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

Neural Paiters

Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.

Deep learning with cats (^._.^)

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

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