Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Mirela Ben-Chen"'
Publikováno v:
ACM SIGGRAPH 2022 Posters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3679e00e874471ad082bd164d0be65c3
https://doi.org/10.1145/3532719.3543251
https://doi.org/10.1145/3532719.3543251
Autor:
Aharon Cohen, Mirela Ben-Chen
Publikováno v:
Computer Graphics Forum
We propose a method to automaticallymatchtwo shape collections with a similar shape space structure, e.g. two characters in similar poses, and compute the inter-maps between the collections. Given the intra-maps in each collection, we extract the cor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c0c2a4f816bb31a687ec593a370bef0
https://doi.org/10.1111/cgf.13952
https://doi.org/10.1111/cgf.13952
Publikováno v:
Symposium on Computational Fabrication
We propose an approach for generating crochet instructions (patterns) from an input 3D model. We focus on Amigurumi, which are knitted stuffed toys. Given a closed triangle mesh, and a single point specified by the user, we generate crochet instructi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21a4c9cfdd667bcedd041654e262e4eb
Publikováno v:
ACM Transactions on Graphics
This paper introduces a novel geometric multigrid solver for unstructured curved surfaces. Multigrid methods are highly efficient iterative methods for solving systems of linear equations. Despite the success in solving problems defined on structured
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9944f735a8c459bc70385d614de97f7c
http://arxiv.org/abs/2104.13755
http://arxiv.org/abs/2104.13755
Publikováno v:
ACM Transactions on Graphics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::4ff632dfbc7133181c2217a58905de26
Publikováno v:
ACM Transactions on Graphics. 39
In this paper we propose a fully automatic method for shape correspondence that is widely applicable, and especially effective for non isometric shapes and shapes of different topology. We observe that fully-automatic shape correspondence can be deco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7e600ca67e3757902da8509dd8189df
https://doi.org/10.1145/3386569.3392447
https://doi.org/10.1145/3386569.3392447
Publikováno v:
ACM Transactions on Graphics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::f7e600ca67e3757902da8509dd8189df
Publikováno v:
Computer Graphics Forum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d107d218855c6b1271b7c21a800d5bd
https://doi.org/10.1111/cgf.13495
https://doi.org/10.1111/cgf.13495
Publikováno v:
Computer Graphics Forum. 36:49-57
Deep neural networks provide a promising tool for incorporating semantic information in geometry processing applications. Unlike image and video processing, however, geometry processing requires handling unstructured geometric data, and thus data rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d5becdd7fd7ceaf4febe591afce209a
https://doi.org/10.1111/cgf.13244
https://doi.org/10.1111/cgf.13244
Publikováno v:
ACM Transactions on Graphics
ACM Transactions on Graphics, Association for Computing Machinery, 2017, 17
MIT Web Domain
ACM Transactions on Graphics, Association for Computing Machinery, 2017, 17
MIT Web Domain
We propose a novel way to capture and characterize distortion between pairs of shapes by extending the recently proposed framework of shape differences built on functional maps. We modify the original definition of shape differences slightly and prov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::135ad26c261c2a4a295459e72980fd47
https://doi.org/10.1145/2999535
https://doi.org/10.1145/2999535