674 Open source projects that are alternatives of or similar to Finegan

Image-to-Image Translation in PyTorch

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

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

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

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

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

Image-to-image translation with conditional adversarial nets

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

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

A sketch extractor for anime/illustration.

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

Pytorch implementation of MixNMatch

Bringing Old Photo Back to Life (CVPR 2020 oral)

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

Focal Frequency Loss for Generative Models

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)

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

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

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

A clean and readable Pytorch implementation of CycleGAN

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

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

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

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

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

Generative Adversarial Transformers

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

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Interactive Image Generation via Generative Adversarial Networks

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

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

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

Open source 2D node-based raster/vector graphics editor (Photoshop + Illustrator + Houdini = Graphite)

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Implementation of the paper : "Toward Multimodal Image-to-Image Translation"

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Toward Multimodal Image-to-Image Translation

Masking GAN - Image attribute mask generation

ICface: Interpretable and Controllable Face Reenactment Using GANs

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

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

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

Facial Expression Editing with Controllable Expression Intensity

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

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

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

Official implementation of FQ-GAN

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

StarNet

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

OpenMMLab Image and Video Editing Toolbox

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

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

🤖🖌️ 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.