no code implementations • 3 Feb 2024 • Hallison Paz, Tiago Novello, Luiz Velho
Our approach leverages the Fourier series by initializing the first layer of a sinusoidal neural network with integer frequencies with a period $P$.
1 code implementation • 26 Aug 2023 • Guilherme Schardong, Tiago Novello, Hallison Paz, Iurii Medvedev, Vinícius da Silva, Luiz Velho, Nuno Gonçalves
This task consists of a warping for feature alignment and a blending for a seamless transition between the warped images.
no code implementations • 25 Aug 2022 • Hallison Paz, Tiago Novello, Vinicius Silva, Luiz Schirmer, Guilherme Schardong, Fabio Chagas, Helio Lopes, Luiz Velho
We present MR-Net, a general architecture for multiresolution neural networks, and a framework for imaging applications based on this architecture.
1 code implementation • ICCV 2023 • Tiago Novello, Vinicius da Silva, Guilherme Schardong, Luiz Schirmer, Helio Lopes, Luiz Velho
For this, it extends the representation of neural implicit surfaces to the space-time $\mathbb{R}^3\times \mathbb{R}$, which opens up mechanisms for continuous geometric transformations.
1 code implementation • 23 Jan 2022 • Tiago Novello, Guilherme Schardong, Luiz Schirmer, Vinicius da Silva, Helio Lopes, Luiz Velho
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.
2 code implementations • 18 Dec 2020 • Vinícius da Silva, Tiago Novello, Hélio Lopes, Luiz Velho
We introduce Proceduray, an engine for real-time ray tracing of procedural geometry.
Graphics 68U05 (Primary) 37-04, 37F10 (Secondary) I.3.7
no code implementations • 20 May 2020 • Caio Souza, Luiz Velho
As the development of the environment is the key for learning, further analysis is conducted of how to build those learning environments, the effects of environment and agent modeling choices, training procedures and generalization of the learned behavior.
1 code implementation • 13 Dec 2019 • Vage Egiazarian, Savva Ignatyev, Alexey Artemov, Oleg Voynov, Andrey Kravchenko, Youyi Zheng, Luiz Velho, Evgeny Burnaev
Constructing high-quality generative models for 3D shapes is a fundamental task in computer vision with diverse applications in geometry processing, engineering, and design.