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pro vyhledávání: '"Besnier, Thomas"'
Autor:
Nocentini, Federico, Besnier, Thomas, Ferrari, Claudio, Arguillere, Sylvain, Berretti, Stefano, Daoudi, Mohamed
Generating speech-driven 3D talking heads presents numerous challenges; among those is dealing with varying mesh topologies. Existing methods require a registered setting, where all meshes share a common topology: a point-wise correspondence across a
Externí odkaz:
http://arxiv.org/abs/2410.11041
Autor:
Nocentini, Federico, Besnier, Thomas, Ferrari, Claudio, Arguillere, Sylvain, Berretti, Stefano, Daoudi, Mohamed
Speech-driven 3D talking heads generation has emerged as a significant area of interest among researchers, presenting numerous challenges. Existing methods are constrained by animating faces with fixed topologies, wherein point-wise correspondence is
Externí odkaz:
http://arxiv.org/abs/2403.10942
3D generative modeling is accelerating as the technology allowing the capture of geometric data is developing. However, the acquired data is often inconsistent, resulting in unregistered meshes or point clouds. Many generative learning algorithms req
Externí odkaz:
http://arxiv.org/abs/2306.15762
Modelling randomness in shape data, for example, the evolution of shapes of organisms in biology, requires stochastic models of shapes. This paper presents a new stochastic shape model based on a description of shapes as functions in a Sobolev space.
Externí odkaz:
http://arxiv.org/abs/2302.05382
Publikováno v:
Eurographics Workshop on 3D Object Retrieval
Eurographics Workshop on 3D Object Retrieval, Sep 2022, Florence, Italy
Eurographics Workshop on 3D Object Retrieval, Sep 2022, Florence, Italy
The generation of 3-dimensional geometric objects in the most efficient way is a thriving research topic with, for example, the development of geometric deep learning, extending classical machine learning concepts to non euclidean data such as graphs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f4987006ea419d3d53c87f2264d6728
https://hal.science/hal-03814647
https://hal.science/hal-03814647