https://github.com/lucidrains/differentiable-sdf-pytorch

Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
https://github.com/lucidrains/differentiable-sdf-pytorch

artificial-intelligence deep-learning scene-representations signed-distance-functions

Last synced: about 1 month ago
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Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch

• Host: GitHub
• URL: https://github.com/lucidrains/differentiable-sdf-pytorch
• Owner: lucidrains
• License: mit
• Created: 2022-05-09T17:53:06.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-05-09T17:55:42.000Z (about 3 years ago)
• Last Synced: 2025-03-29T22:13:14.427Z (2 months ago)
• Topics: artificial-intelligence, deep-learning, scene-representations, signed-distance-functions
• Homepage:
• Size: 2.93 KB
• Stars: 68
• Watchers: 17
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## Differentiable Signed Distance Function Rendering - Pytorch (wip)

Implementation of Differentiable Sign-Distance Function Rendering from EPFL - in Pytorch.

## Citations

```bibtex

@article{Vicini2022sdf,

    author = {Delio Vicini and Sébastien Speierer and Wenzel Jakob},

    title = {Differentiable Signed Distance Function Rendering},

    journal = {Transactions on Graphics (Proceedings of SIGGRAPH)},

    volume = {41},

    number = {4},

    pages = {125:1--125:18},

    year = {2022},

    month = jul,

    doi = {10.1145/3528223.3530139}

}

```