Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Schirmer, Luiz"'
Earth structural heterogeneities have a remarkable role in the petroleum economy for both exploration and production projects. Automatic detection of detailed structural heterogeneities is challenging when considering modern machine learning techniqu
Externí odkaz:
http://arxiv.org/abs/2404.10170
Autor:
Paz, Hallison, Novello, Tiago, Silva, Vinicius, Schirmer, Luiz, Schardong, Guilherme, Chagas, Fabio, Lopes, Helio, Velho, Luiz
We present MR-Net, a general architecture for multiresolution neural networks, and a framework for imaging applications based on this architecture. Our coordinate-based networks are continuous both in space and in scale as they are composed of multip
Externí odkaz:
http://arxiv.org/abs/2208.11813
Autor:
Novello, Tiago, da Silva, Vinicius, Schardong, Guilherme, Schirmer, Luiz, Lopes, Helio, Velho, Luiz
This work investigates the use of smooth neural networks for modeling dynamic variations of implicit surfaces under the level set equation (LSE). For this, it extends the representation of neural implicit surfaces to the space-time $\mathbb{R}^3\time
Externí odkaz:
http://arxiv.org/abs/2201.09636
Autor:
Novello, Tiago, Schardong, Guilherme, Schirmer, Luiz, da Silva, Vinicius, Lopes, Helio, Velho, Luiz
We introduce a neural implicit framework that exploits the differentiable properties of neural networks and the discrete geometry of point-sampled surfaces to approximate them as the level sets of neural implicit functions. To train a neural implicit
Externí odkaz:
http://arxiv.org/abs/2201.09263
Autor:
da Silva, Vinícius, Novello, Tiago, Schardong, Guilherme, Schirmer, Luiz, Lopes, Hélio, Velho, Luiz
We introduce a novel approach for rendering static and dynamic 3D neural signed distance functions (SDF) in real-time. We rely on nested neighborhoods of zero-level sets of neural SDFs, and mappings between them. This framework supports animations an
Externí odkaz:
http://arxiv.org/abs/2201.09147
Autor:
Paz, Hallison, Perazzo, Daniel, Novello, Tiago, Schardong, Guilherme, Schirmer, Luiz, da Silva, Vinícius, Yukimura, Daniel, Chagas, Fabio, Lopes, Hélio, Velho, Luiz
Publikováno v:
In Computers & Graphics August 2023 114:387-400
Autor:
Novello, Tiago, da Silva, Vinicius, Schardong, Guilherme, Schirmer, Luiz, Lopes, Helio, Velho, Luiz
This work investigates the use of smooth neural networks for modeling dynamic variations of implicit surfaces under partial differential equations (PDE). For this purpose, it extends the representation of neural implicit surfaces to the space-time $\
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1347744dea2d61a1b563a3e507a8ee55
http://arxiv.org/abs/2201.09636
http://arxiv.org/abs/2201.09636