vq-vae

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

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

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

Vector Quantized VAEs - PyTorch Implementation

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

Minimalist implementation of VQ-VAE in Pytorch

Easy generative modeling in PyTorch

VQ-VAE for Acoustic Unit Discovery and Voice Conversion

A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application

PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"

Official Implement of Multi-Stage Multi-Codebook (MSMC) TTS

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

[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles

Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion

[ICML 2023] Official PyTorch Implementation of "Hierarchical Neural Coding for Controllable CAD Model Generation".

L-Verse: Bidirectional Generation Between Image and Text

Pytorch Implementation of "Neural Discrete Representation Learning"