There are 23 repositories under vq-vae topic.
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.
Easy generative modeling in PyTorch.
VQ-VAE for Acoustic Unit Discovery and Voice Conversion
PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]
CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"
đź“š A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion
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
L-Verse: Bidirectional Generation Between Image and Text
[ICML 2023] Official PyTorch Implementation of "Hierarchical Neural Coding for Controllable CAD Model Generation".
A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
Repository for implementation of generative models with Tensorflow 1.x
Python toolkit for speech processing
A Bach music generator with Artificial Intelligence. This model is made by a VQ-VAE + Transformer (decoder-only). Sequences of midi 1 quarter length are compressed into 16 codebooks via VQ-VAE and a transformer learns how to generate the codebooks sequence to obtain a midi score.
Implementation of the framework described in the paper Spectrogram Inpainting for Interactive Generation of Instrument Sounds published at the 2020 Joint Conference on AI Music Creativity.
Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.
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
Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)
Pytorch implementation of "Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion" [Interspeech 2019]
PyTorch implementation of VQ-VAE applied on CIFAR10 dataset
Hercules: Attributable and Scalable Opinion Summarization (ACL 2023)
Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE
KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)