This repository contains the source code for the paper First Order Motion Model for Image Animation
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Updated
Mar 11, 2023 - Jupyter Notebook
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"
A collection of resources and papers on Diffusion Models
Collection of generative models in Tensorflow
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
[CVPR2020] Adversarial Latent Autoencoders
Diffusion model papers, survey, and taxonomy
Research Framework for easy and efficient training of GANs based on Pytorch
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Synthetic Data Generation for tabular, relational and time series data.
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
Generative Adversarial Networks (GANs) resources sorted by citations
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.
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