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pro vyhledávání: '"Ye, Johan Ziruo"'
Digital dentistry has made significant advancements, yet numerous challenges remain. This paper introduces the FDI 16 dataset, an extensive collection of tooth meshes and point clouds. Additionally, we present a novel approach: Variational FoldingNet
Externí odkaz:
http://arxiv.org/abs/2307.10895
We present a framework for learning probability distributions on topologically non-trivial manifolds, utilizing normalizing flows. Current methods focus on manifolds that are homeomorphic to Euclidean space, enforce strong structural priors on the le
Externí odkaz:
http://arxiv.org/abs/2106.03500
Digital dentistry has made significant advancements in recent years, yet numerous challenges remain to be addressed. In this study, we release a new extensive dataset of tooth meshes to encourage further research. Additionally, we propose Variational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::080fd8d14e948eb1c1bc74efd262e41b
http://arxiv.org/abs/2307.10895
http://arxiv.org/abs/2307.10895