generative-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Code for the paper "Jukebox: A Generative Model for Music"

Collection of generative models in Tensorflow

[CVPR2020] Adversarial Latent Autoencoders

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

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Generative Adversarial Networks (GANs) resources sorted by citations

Speech Enhancement Generative Adversarial Network in TensorFlow

KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

in progress

High-fidelity performance metrics for generative models in PyTorch

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU