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Generating High-quality 3D Assets from Easy-to-access 2D content

Wang, Yangtuanfeng; (2019) Generating High-quality 3D Assets from Easy-to-access 2D content. Doctoral thesis (Ph.D), UCL (University College London). Green open access

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Abstract

In the context of content creation, there is an increasing demand for high-quality digital models including object shape, texture, environment illumination, physical properties, etc. As the design and preview presentations get exclusively digital, the need for high-quality 3D assets has grown sharply. The demand, however, is challenging to meet as the process of creating such digital 3D assets remains mostly manual – heavy post-processing is still needed to clean-up captures from commercial 3D capturing devices or models have to be manually created from scratch. On the other hand, low-quality 3D data is much easier to obtain, e.g., modeled by hand, captured with a low-end device, or generated using a virtual simulator. In this thesis, we develop algorithms that consume such low-quality 3D data and 2D cues to automatically create enriched 3D content of higher-quality. Specifically, with the help of low quality underlying 3D geometry, we explore (i) how to grab 3D shape from 2D images while factorizing camera motion and object motion in a dynamic scene; (ii) how to transfer texture and illumination from a captured 2D image to 3D shapes of the same category; (iii) how to decompose 360 environment map and BRDF material from photos and reduce ambiguity by joint observation; and (iv) how to model 3D garment shape and its physical properties from a 2d sketch or image.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Generating High-quality 3D Assets from Easy-to-access 2D content
Event: UCL (University College London)
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © The Author 2019. Original content in this thesis is licensed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10075333
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