587 Open source projects that are alternatives of or similar to pytorch-CycleGAN

TriangleGAN, ACM MM 2019.

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

Pytorch implementation of BicycleGAN with implementation details

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

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

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

Generative Adversarial Networks in PyTorch

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

A clean and readable Pytorch implementation of CycleGAN

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

Conditional GAN for Anime face generation.

Spectral Normalization for Keras Dense and Convolution Layers

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

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

Colorization of grayscale images using CycleGAN in TensorFlow.

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

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

An implementation of CycleGan using TensorFlow

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Listing my favorite research papers 📝 from different fields as I read them.

Anime Generation

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

Image2Image Translation Research

A stable algorithm for GAN training

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Tensorflow implementation of the NIPS paper "Toward Multimodal Image-to-Image Translation"

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

Tensorflow implementation of CycleGAN

[CVPR2020] Adversarial Latent Autoencoders

Pytorch implementation of pix2pix for various datasets.

My pytorch implementation for GAN

Training a MNIST classifier, and use it to compute inception score (ICP)

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

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

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

PyTorch implementation of CycleGAN

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

Generative Adversarial Networks in TensorFlow 2.0

Semantic Image Inpainting

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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

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

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Tensorflow-based framework to ease training of generative models

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

A clean and lucid implementation of cycleGAN using PyTorch

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

Stacked Generative Adversarial Networks

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Image-to-Image Translation in PyTorch

Improving MMD-GAN training with repulsive loss function

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai