Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164613
Title: Garment mesh reconstruction and animation
Authors: Ju, Chuang
Keywords: Engineering::Computer science and engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Ju, C. (2022). Garment mesh reconstruction and animation. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/164613
Abstract: With great potential in online garment shopping and game animation, recent years research in garment virtual try-on becomes more and more popular. Garment virtual try-on can be divided into three parts, namely 3D garment mesh reconstruction, animation and texture transfer. Most of current research only focus on one of the sub-fields and are difficult to be combined. There is still no end-to-end pipeline. In this report, we propose a network to reconstruct the 3D garment mesh that is easily to be combined with animation model and make contribution to the completeness of the end-to-end pipeline. Our network can properly predict 3D garment meshes according to various garment styles. Unlike some of the existing approaches that require complex inputs, our model works with 2D garment images or masks that are easily accessible. Unsupervised learning is implemented during training, making the data collection much easier as no labelling is required. We have successfully combined our model with existing 3D animation model. Now the network can directly work from 2D images instead of 3D garment information.
URI: https://hdl.handle.net/10356/164613
DOI: 10.32657/10356/164613
Schools: School of Computer Science and Engineering 
Rights: This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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