743 Open source projects that are alternatives of or similar to Transmomo.pytorch

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

A stable algorithm for GAN training

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

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

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

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Composable GAN framework with api and user interface

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

A PyTorch implementation for StyleGAN with full features.

Transformer for Graph Classification (Pytorch and Tensorflow)

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

Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

Coherent Semantic Attention for image inpainting(ICCV 2019)

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Learning kernels to maximize the power of MMD tests

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Collection of generative models in Pytorch version.

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

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

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

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Code for GAN2Shape (ICLR2021 oral)

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

How to do Unsupervised Clustering with Keras

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

Tensorflow implementation of generative adversarial imitation learning

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

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

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

Text to image synthesis using thought vectors

Auxiliary Classifier Generative Adversarial Networks in Keras

Generative adversarial training for generating synthetic tabular data.

DCGAN image generator 🖼️.

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Implementation of VLAE

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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

Paddle Distributed Training Extended. 飞桨分布式训练扩展包

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

Deep learning using tensorflow

Code repository for the paper: "Coherent Reconstruction of Multiple Humans from a Single Image" in CVPR'20

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

Deep learning codes and projects using Python

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.

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