2 citations · 5 across the 8 of their papers we have counts for
9 papers
ProbeSDF: Light Field Probes for Neural Surface Reconstruction
Briac Toussaint, Diego Thomas, Jean-Sébastien Franco
SDF-based differential rendering frameworks have achieved state-of-the-art multiview 3D shape reconstruction. In this work, we re-examine this family of approaches by minimally ref…
VortSDF: 3D Modeling with Centroidal Voronoi Tesselation on Signed Distance Field
Diego Thomas, Briac Toussaint, Jean-Sebastien Franco +1
Volumetric shape representations have become ubiquitous in multi-view reconstruction tasks. They often build on regular voxel grids as discrete representations of 3D shape function…
4DHumanOutfit: a multi-subject 4D dataset of human motion sequences in varying outfits exhibiting large displacements
Matthieu Armando, Laurence Boissieux, Edmond Boyer +11
This work presents 4DHumanOutfit, a new dataset of densely sampled spatio-temporal 4D human motion data of different actors, outfits and motions. The dataset is designed to contain…
Correspondence-free online human motion retargeting
Rim Rekik, Mathieu Marsot, Anne-Hélène Olivier +2
We present a data-driven framework for unsupervised human motion retargeting that animates a target subject with the motion of a source subject. Our method is correspondence-free,…
Representing motion as a sequence of latent primitives, a flexible approach for human motion modelling
Mathieu Marsot, Stefanie Wuhrer, Jean-Sebastien Franco +1
We propose a new representation of human body motion which encodes a full motion in a sequence of latent motion primitives. Recently, task generic motion priors have been introduce…
A structured latent space for human body motion generation
Mathieu Marsot, Stefanie Wuhrer, Jean-Sebastien Franco +1
We propose a framework to learn a structured latent space to represent 4D human body motion, where each latent vector encodes a full motion of the whole 3D human shape. On one hand…
Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images
Valentin Gabeur, Jean-Sebastien Franco, Xavier Martin +2
In this paper, we tackle the problem of 3D human shape estimation from single RGB images. While the recent progress in convolutional neural networks has allowed impressive results…
QuickCSG: Fast Arbitrary Boolean Combinations of N Solids
Matthijs Douze, Jean-Sébastien Franco, Bruno Raffin
QuickCSG computes the result for general N-polyhedron boolean expressions without an intermediate tree of solids. We propose a vertex-centric view of the problem, which simplifies…
Shape Animation with Combined Captured and Simulated Dynamics
Benjamin Allain, Li Wang, Jean-Sebastien Franco +2
We present a novel volumetric animation generation framework to create new types of animations from raw 3D surface or point cloud sequence of captured real performances. The framew…