https://github.com/yannick-kees/shape-space-learning
Implementation of two phase field approaches for the surface reconstruction problem and shape space learning. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli
https://github.com/yannick-kees/shape-space-learning
ambrosio-tortorelli deep-learning implicit-neural-representation implicit-representions modica-mortola pytorch shape-space surface-reconstruction
Last synced: 3 months ago
JSON representation
Implementation of two phase field approaches for the surface reconstruction problem and shape space learning. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli
- Host: GitHub
- URL: https://github.com/yannick-kees/shape-space-learning
- Owner: Yannick-Kees
- Created: 2023-03-08T14:55:18.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-04-01T18:54:23.000Z (about 2 years ago)
- Last Synced: 2025-01-23T15:53:54.313Z (5 months ago)
- Topics: ambrosio-tortorelli, deep-learning, implicit-neural-representation, implicit-representions, modica-mortola, pytorch, shape-space, surface-reconstruction
- Language: Python
- Homepage: https://github.com/Yannick-Kees/Shape-space-learning/blob/main/documents/Thesis.pdf
- Size: 340 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0