777 Open source projects that are alternatives of or similar to TriangleGAN

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

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

Pytorch implementation of CycleGAN.

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

Pytorch implementation of BicycleGAN with implementation details

Conditional GAN for Anime face generation.

A Survey on Text-to-Image Generation/Synthesis.

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

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

Anime Generation

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

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

Image-to-image translation with conditional adversarial nets

Discovering Interpretable GAN Controls [NeurIPS 2020]

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

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

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

Semantic Image Inpainting

Spectral Normalization for Keras Dense and Convolution Layers

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

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

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

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

Image-to-Image Translation in PyTorch

A sketch extractor for anime/illustration.

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

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

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

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

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

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

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

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

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

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

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

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

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

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

Focal Frequency Loss for Generative Models

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

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

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

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

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

A stable algorithm for GAN training

Stacked Generative Adversarial Networks

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

Paper notes in deep learning/machine learning and computer vision

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

Tensorflow-based framework to ease training of generative models

My pytorch implementation for GAN

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

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

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

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

OpenMMLab Image and Video Editing Toolbox

Improving MMD-GAN training with repulsive loss function

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.