Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

Automatic PBR Texture Reconstruction for Window Images

Kunting, Qi
http://orcid.org/0009-0003-2498-8017
http://rave.ohiolink.edu/etdc/view?acc_num=miami1700668083280213

Abstract Details

2023, Master of Computer Science, Miami University, Computer Science.
In various fields, computer-generated architecture plays a pivotal role, especially in tasks like historical scene reconstruction and real estate marketing. However, reverse-engineering architectural details from images poses significant challenges due to diverse constraints. Our research focuses on one central architectural element—windows—as a stepping stone towards 3D modeling of complex scenes. We employ Physically Based Rendering (PBR) texture mapping to accurately represent material information, including transparency and reflectance, in window surfaces. Estimating PBR textures, including depth and albedo maps, is crucial for capturing the 3D appearance of windows. Given limited or unavailable ground truth data, we adopt unsupervised learning methods. Our approach utilizes a Resnet-50 backbone for window image viewpoint estimation and implements a neural network for unsupervised PBR texture estimation. This work aims to enhance the efficiency and accuracy of 3D modeling in architectural contexts, addressing the inherent challenges of reverse-engineering architectural features from images.
John Femiani (Advisor)
Khodakhast Bibak (Committee Member)
Daniela Inclezan (Committee Member)
77 p.
Computer Science
Computer vision, Deep Learning, Differentiable Rendering, PBR Texture

Recommended Citations

Citations

  • Kunting, Q. (2023). Automatic PBR Texture Reconstruction for Window Images [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1700668083280213

    APA Style (7th edition)

  • Kunting, Qi. Automatic PBR Texture Reconstruction for Window Images. 2023. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1700668083280213.

    MLA Style (8th edition)

  • Kunting, Qi. "Automatic PBR Texture Reconstruction for Window Images." Master's thesis, Miami University, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=miami1700668083280213

    Chicago Manual of Style (17th edition)

miami1700668083280213
92
© 2023, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.