Maximilian Weiherer
@maxweiherer.bsky.social
PhD student at @fau.de. Part of @cogcovi.bsky.social. I’m working at the intersection of computer vision, computer graphics, and machine learning. I like kernels.
mweiherer.github.io
mweiherer.github.io
(4/5) The resulting model is free of correspondence errors, captures detailed surface geometry, and outperforms the RBSM in various surface reconstruction tasks.
The iRBSM is publicly available for research purposes!
Model: rbsm.re-mic.de/implicit
Code: github.com/mweiherer/ir...
The iRBSM is publicly available for research purposes!
Model: rbsm.re-mic.de/implicit
Code: github.com/mweiherer/ir...
December 19, 2024 at 11:23 AM
(4/5) The resulting model is free of correspondence errors, captures detailed surface geometry, and outperforms the RBSM in various surface reconstruction tasks.
The iRBSM is publicly available for research purposes!
Model: rbsm.re-mic.de/implicit
Code: github.com/mweiherer/ir...
The iRBSM is publicly available for research purposes!
Model: rbsm.re-mic.de/implicit
Code: github.com/mweiherer/ir...
Happy to share our latest 3D generative breast model: the *implicit* RBSM, or iRBSM for short. As opposed to its PCA-based predecessor, the iRBSM leverages implicit neural representations, yielding a highly detailed and expressive 3D breast model.
Paper: arxiv.org/abs/2412.13244
Paper: arxiv.org/abs/2412.13244
December 19, 2024 at 11:23 AM
Happy to share our latest 3D generative breast model: the *implicit* RBSM, or iRBSM for short. As opposed to its PCA-based predecessor, the iRBSM leverages implicit neural representations, yielding a highly detailed and expressive 3D breast model.
Paper: arxiv.org/abs/2412.13244
Paper: arxiv.org/abs/2412.13244