vqvae

SOTA Open Source TTS

A Collection of Variational Autoencoders (VAE) in PyTorch.

Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

[NeurIPS 2024]OmniTokenizer: one model and one weight for image-video joint tokenization.

(ECCV 2024) SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark

A toolkit for non-parallel voice conversion based on vector-quantized variational autoencoder

Language Quantized AutoEncoders

Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering

Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.

Demo of robust semantic communication against semantic noise

Towards training VQ-VAE models robustly!

A research-friendly PyTorch Lightning toolkit for training, fine-tuning, and benchmarking AutoencoderKL for Stable Diffusion, FLUX, and beyond.

official training and inference code of bitwise tokenizer

This repo implements VQVAE on mnist and as well as colored version of mnist images. It also implements simple LSTM for generating sample numbers using the encoder outputs of trained VQVAE

Voice conversion (VC) investigation using three variants of VAE

VQ-VAE/GAN implementation in pytorch-lightning

Inverse DALL-E for Optical Character Recognition

Experimental implementation for a sparse-dictionary based version of the VQ-VAE2 paper

Image Generation using VQVAE and GPT Models

Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"