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

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

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

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

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

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

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

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

Image-to-image translation with conditional adversarial nets

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

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

Semantic Image Manipulation using Scene Graphs (CVPR 2020)

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

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

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

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

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

Anime Generation

Deep learning codes and projects using Python

Text to image synthesis using thought vectors

Semantic Image Inpainting

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

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

Generative adversarial training for generating synthetic tabular data.

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

DCGAN image generator 🖼️.

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

High-quality pro image resizing / scaling C++ library, image resize

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

A simple interface for editing natural photos with generative neural networks.

An image loader module for nuxt.js that allows you to configure image style derivatives.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral

Coherent Semantic Attention for image inpainting(ICCV 2019)

CDN is a Just-in-time asset manipulation and delivery application, providing a complete content distribution/delivery solution

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

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

Collection of generative models in Pytorch version.

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

Cloudinary Java Client Library

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Aulas da Escola de Inteligência Artificial de São Paulo

chainer implementation of pix2pix

The author's officially unofficial PyTorch BigGAN implementation.

An image manipulation library with a very specific set of skills.

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

Awesome GAN for Medical Imaging

Transform your images as if they were made out of LEGO bricks.

C++ Bitmap Library

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Python package for cloudinary

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

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

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

A DCGAN to generate anime faces using custom mined dataset

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