SGI-2023
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intrinsic_mollification
intrinsic_mollification PublicThis project delves into an ingenious approach to ensure favorable triangle shapes in meshes without altering connectivity or employing complex data structures. By incorporating intrinsic mollifica…
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quasimetric-representation
quasimetric-representation PublicQuasimetric Reinforcement Learning (QRL) is a goal reaching RL method via learning a Quasimetrics function. This project aims to probe properties of learned latent spaces, which has a Quasimetrics …
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surface-characterization
surface-characterization PublicIn this project, we present a discrete surface characterization method based on the extraction of the top k eigenvalues of the Laplace-Beltrami.
Jupyter Notebook
Repositories
- 3D-Building-Classification Public
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- magic-physics-illusions Public
- quasimetric-representation Public
Quasimetric Reinforcement Learning (QRL) is a goal reaching RL method via learning a Quasimetrics function. This project aims to probe properties of learned latent spaces, which has a Quasimetrics geometry by manipulating the existing implementation of QRL and run it on grid-world-like environments to analyze the behaviour on other environments.
- INSR-hybrid Public
- sampling-surfaces Public
This project explores different methods to sample possible surfaces for a given point cloud.
- intrinsic_mollification Public
This project delves into an ingenious approach to ensure favorable triangle shapes in meshes without altering connectivity or employing complex data structures. By incorporating intrinsic mollification, the research showcases how this technique enhances the resilience of mesh processing algorithms, optimizing triangle quality.
- Invivo-Exvivo-2023 Public