This is the official implementation of MusER (AAAI'24).
-
Updated
May 28, 2024 - Python
This is the official implementation of MusER (AAAI'24).
KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)
Generative models nano version for fun. No STOA here, nano first.
Official Code Repo for the paper "Learning to Play Atari in a World of Tokens" accepted at ICML, 2024
Python toolkit for speech processing
[ICML 2023] Official PyTorch Implementation of "Hierarchical Neural Coding for Controllable CAD Model Generation".
A generative machine learning model that generates noval foley sounds
Code for the paper "Jukebox: A Generative Model for Music"
Official Implement of Multi-Stage Multi-Codebook (MSMC) TTS
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
📚 A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles
Vector-Quantized Generative Adversarial Networks
Generative modeling and representation learning through reconstruction
This presentation, conducted for the "Natural Language Processing" course, delves into the paper's content, which addresses the challenge of generating images for a story using a text-to-image framework. The paper can be accessed at https://arxiv.org/abs/2210.08465.
Medical Image Latent Space Visualization Using VQ-VAE
Conditional Video/GIF Synthesis implementation using PyTorch Lightning and Hydra. This method utilizes Vector Quantization Variational AutoEncoder (VQ-VAE) with Discrete Denoising Diffusion Probabilistic Models (D3PM) to generate novel videos.
(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”
Add a description, image, and links to the vq-vae topic page so that developers can more easily learn about it.
To associate your repository with the vq-vae topic, visit your repo's landing page and select "manage topics."