Structure preserving implicit shape encoding via flow regularizationDownload PDF

13 Sept 2022, 13:17 (modified: 06 Oct 2022, 12:09)GeoMedIA (Extended abstracts) PosterReaders: Everyone
Keywords: latent space, shape reconstruction, implicit neural representation, neural ODE
Abstract: Recently, implicit neural representations (INRs) emerged as an effective method for reconstructing shapes. Several of such methods transform templates to target shapes. Current template-based methods lack proper regularization. In this work, we add a novel regularization to a deformable template approach and discuss the benefits of this regularization with a simple test case.
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