650 Open source projects that are alternatives of or similar to Cocosnet

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

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

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

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

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

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

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

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

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

Image-to-Image Translation in PyTorch

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

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

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

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

Code for deep generative prior (ECCV2020 oral)

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

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

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

Pytorch implementation of MixNMatch

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

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

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

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

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

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Generate Cartoon Images using Generative Adversarial Network

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

TriangleGAN, ACM MM 2019.

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..

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

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

Interactive Image Generation via Generative Adversarial Networks

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

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

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

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

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

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

Image-to-image translation with conditional adversarial nets

Masking GAN - Image attribute mask generation

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Toward Multimodal Image-to-Image Translation

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

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

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

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

🔥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.

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

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

Focal Frequency Loss for Generative Models

StarNet

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

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

Pytorch implementation of BicycleGAN with implementation details

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