Exploration of Alternative Image Representation Using Signed Distance Functions
(2023) MAMM15 20231Department of Design Sciences
- Abstract
- This project leverages the core concepts of differentiable rendering to find alternative representation of images using geometric primitives rendered with Signed Distance Functions. By utilising gradient-descent-based methods it is possible to find optimal parameters of rendered primitives to create high-quality reconstruction. Moreover, this research serves as a foundation for extending the principles and methodologies explored to 2D space. While the project primarily focuses on 2D image representation, the insights gained can be applied to similar tasks in the field of 3D rendering.
- Popular Abstract
- This project leverages the core concepts of differentiable rendering to find alternative representation of images using geometric primitives rendered with Signed Distance Functions. By utilising machine learning it is possible to find optimal parameters of rendered primitives to create high-quality reconstructions.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9129143
- author
- Olejnik, Jakub LU
- supervisor
- organization
- course
- MAMM15 20231
- year
- 2023
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- computer graphics, SDF-based rendering, machine learning
- language
- English
- id
- 9129143
- date added to LUP
- 2023-06-26 10:42:28
- date last changed
- 2023-06-26 10:42:28
@misc{9129143, abstract = {{This project leverages the core concepts of differentiable rendering to find alternative representation of images using geometric primitives rendered with Signed Distance Functions. By utilising gradient-descent-based methods it is possible to find optimal parameters of rendered primitives to create high-quality reconstruction. Moreover, this research serves as a foundation for extending the principles and methodologies explored to 2D space. While the project primarily focuses on 2D image representation, the insights gained can be applied to similar tasks in the field of 3D rendering.}}, author = {{Olejnik, Jakub}}, language = {{eng}}, note = {{Student Paper}}, title = {{Exploration of Alternative Image Representation Using Signed Distance Functions}}, year = {{2023}}, }