798 Open source projects that are alternatives of or similar to Deep Generative Prior

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Image-to-image translation with conditional adversarial nets

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

Interactive Image Generation via Generative Adversarial Networks

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

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

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

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

Image-to-Image Translation in PyTorch

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

Focal Frequency Loss for Generative Models

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

A DCGAN to generate anime faces using custom mined dataset

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

[CVPR2020] Adversarial Latent Autoencoders

DCGAN image generator 🖼️.

Code for GAN2Shape (ICLR2021 oral)

A modern PyTorch implementation of SRGAN

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

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

On the "steerability" of generative adversarial networks

Collection of generative models in Pytorch version.

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

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

Pytorch deep learning face frontalization model

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

Image Deblurring using Generative Adversarial Networks

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

A stable algorithm for GAN training

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

A collection of arbitrary text to image papers with code (constantly updating)

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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

Unsupervised anomaly detection with generative model, keras implementation

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Stochastic Adversarial Video Prediction

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Pytorch implementation of Image Manipulation with Perceptual Discriminators paper

Showcasing various fun adventures with GANs

Unofficial implementation of StyleGAN's generator

GAN in Tensorflow to be run via Linux command line

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

Use keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:

Everything about Generative Adversarial Networks

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

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

Create Anime Characters with MakeGirlsMoe

An extremely simple generative adversarial network, built with TensorFlow

Generate Cartoon Images using Generative Adversarial Network

Applied Deep Learning (2019 Spring) @ NTU

Keras implementation of 3D Generative Adversarial Network.