Human motion as foreign language.
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Updated
Dec 6, 2023
Human motion as foreign language.
This is the official implementation of MusER (AAAI'24).
Basic models and their code in the field of image generation.
KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)
code for paper: https://arxiv.org/pdf/2203.08080.pdf
This is a simplified implementation of VQ-GANs written in PyTorch. The architecture is borrowed from the paper "Taming Transformers for High-Resolution Image Synthesis".
Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE
Generating images in different contexts using GANs and Variational Autoencoders
Discrete world modeling by recording Coppelia simulations with ROS
Official Code Repo for the paper "Learning to Play Atari in a World of Tokens" accepted at ICML, 2024
PyTorch Implementation of Vector Quantized Variational AutoEncoders.
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.
Vector-Quantized Generative Adversarial Networks
생성모델을 이용한 ASMR 컨텐츠 제작 프로젝트
Medical Image Latent Space Visualization Using VQ-VAE
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