Generative adversarial modeling of 3D shapes
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
Main Author: | Zhang, Chengkai, M. Eng. Massachusetts Institute of Technology |
---|---|
Other Authors: | Joshua B. Tenenbaum. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/119694 |
Similar Items
-
Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling
by: Wu, Jiajun, et al.
Published: (2017) -
Enhancing adversarial robustness of deep neural networks
by: Zhang, Jeffrey,M. Eng.Massachusetts Institute of Technology.
Published: (2019) -
3D reconstruction of cuboid-shaped objects from labeled images
by: Lee, Erika, M. Eng. Massachusetts Institute of Technology
Published: (2014) -
G A N mask R-CNN : instance semantic segmentation benefits from generative adversarial networks
by: Le, Quang H.,M. Eng.(Quang Huy)Massachusetts Institute of Technology.
Published: (2021) -
Afterimage Toon Blur : procedural generation of cartoon blur for 3D models in real time
by: Smith, Robert L. M. Eng. Massachusetts Institute of Technology
Published: (2017)