Essays about: "Vector Quantized Variational AutoEncoder"

Found 2 essays containing the words Vector Quantized Variational AutoEncoder.

1. 1. Enhancing Long-Term Human Motion Forecasting using Quantization-based Modelling. : Integrating Attention and Correlation for 3D Motion Prediction

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Luis González Gudiño; [2023]
   Keywords : Human Motion Forecasting; Long-Term Prediction; VQ-VAE; Quantization; 3D Human Motion; CMU MoCap Dataset; Transformer; Mänsklig Rörelseprognos; Långsiktig Prognos; VQ-VAE; Kvantisering; 3D-mänsklig rörelse; CMU MoCap Dataset; Transformer;

   Abstract : This thesis focuses on addressing the limitations of existing human motion prediction models by extending the prediction horizon to very long-term forecasts. The objective is to develop a model that achieves one of the best stable prediction horizons in the field, providing accurate predictions without significant error increase over time. READ MORE

3. 2. EVALUATING PERFORMANCE OF GENERATIVE MODELS FOR TIME SERIES SYNTHESIS

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Muhammad Junaid Haris; [2023]
   Keywords : GAN; Generative Adversarial Network; VQ-VAE; Vector Quantized Variational AutoEncoder; AutoEncoder; VAE; Time Series; Synthesizing; Data Synthesis;

   Abstract : Motivated by successes in the image generation domain, this thesis presents a novel Hybrid VQ-VAE (H-VQ-VAE) approach for generating realistic synthetic time series data with categorical features. The primary motivation behind this work is to address the limitations of existing generative models in accurately capturing the underlying structure and patterns of time series data, especially when dealing with categorical features. READ MORE