1 code implementation • 25 May 2024 • Philippe Weier, Alexander Rath, Élie Michel, Iliyan Georgiev, Philipp Slusallek, Tamy Boubekeur
Neural representations have shown spectacular ability to compress complex signals in a fraction of the raw data size.
no code implementations • 4 Sep 2023 • Giuseppe Vecchio, Rosalie Martin, Arthur Roullier, Adrien Kaiser, Romain Rouffet, Valentin Deschaintre, Tamy Boubekeur
Our generative approach further permits exploration of a variety of materials which could correspond to the input image, mitigating the unknown lighting conditions.
no code implementations • 25 Jul 2023 • Valentin Deschaintre, Julia Guerrero-Viu, Diego Gutierrez, Tamy Boubekeur, Belen Masia
We introduce text2fabric, a novel dataset that links free-text descriptions to various fabric materials.
1 code implementation • ICCV 2021 • Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan, Radomir Mech, Tamy Boubekeur, Niloy J. Mitra
We present Cascaded Primitive Fitting Networks (CPFN) that relies on an adaptive patch sampling network to assemble detection results of global and local primitive detection networks.
no code implementations • CVPR 2020 • Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomir Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji
We present a generative model to synthesize 3D shapes as sets of handles -- lightweight proxies that approximate the original 3D shape -- for applications in interactive editing, shape parsing, and building compact 3D representations.
no code implementations • 21 Jan 2020 • Adrien Kaiser, José Alonso Ybanez Zepeda, Tamy Boubekeur
We propose a geometric superstructure for unified real-time processing of RGB-D data.
no code implementations • 20 Jan 2020 • Adrien Kaiser, José Alonso Ybanez Zepeda, Tamy Boubekeur
We present a novel method to estimate the motion matrix between overlapping pairs of 3D views in the context of indoor scenes.
2 code implementations • 6 Sep 2019 • Fabrizio Corda, Jean-Marc Thiery, Marco Livesu, Enrico Puppo, Tamy Boubekeur, Riccardo Scateni
Skeleton-based and cage-based deformation techniques represent the two most popular approaches to control real-time deformations of digital shapes and are, to a vast extent, complementary to one another.
Graphics
no code implementations • ECCV 2018 • Adrien Kaiser, Jose Alonso Ybanez Zepeda, Tamy Boubekeur
We propose a new multiplanar superstructure for unified real-time processing of RGB-D data.
no code implementations • CVPR 2014 • Thierry Guillemot, Andres Almansa, Tamy Boubekeur
We start by explaining how to construct a Covariance Tree from a subset of the input data, how to enrich its statistics from a larger set in a streaming process, and how to query it efficiently, at any scale.