3D object recovery and stylization with limited supervision
The acquisition of 3D data is often costly and challenging, leading to a scarcity of reliable 3D ground truth for training deep learning models. This thesis focuses on 3D tasks that involve limited supervision, where access to comprehensive training data is constrained. Specifically, this thesis con...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
| Published: |
Nanyang Technological University
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/174068 |