392 Open source projects that are alternatives of or similar to Vae For Image Generation

Collection of generative models in Tensorflow

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Protein function prediction using a variational autoencoder

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

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

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.

Variational Autoencoder trained by Feature Perceputal Loss

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

A Tensorfflow implementation of Attend, Infer, Repeat

A VAE written entirely in Numpy/Cupy

A tensorflow implementation of "Generating Sentences from a Continuous Space"

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

No description or website provided.

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

Implementation of a convolutional Variational-Autoencoder model in pytorch.

Torch Implemention of ECCV'16 paper: Attribute2Image

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution

PyTorch implementation of "Auto-Encoding Variational Bayes"

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

TriangleGAN, ACM MM 2019.

unsupervised video and image generation

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

music generation with a classifying variational autoencoder (VAE) and LSTM

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..

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

Stochastic Adversarial Video Prediction

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

Assessing Generative Models via Precision and Recall (official repository)

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

Invariant representation learning from imaging and spectral data

Tensorflow implementation of conditional variational auto-encoder for MNIST

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

Variational autoencoder for anomaly detection (in PyTorch).

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

Experiments for understanding disentanglement in VAE latent representations

Pytorch implementation of Hyperspherical Variational Auto-Encoders

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

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

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

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

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

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

Tensorflow implementation of variational auto-encoder for MNIST

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