1.2k citations · 1.8k across the 22 of their papers we have counts for
22 papers
BodyShapeGPT: SMPL Body Shape Manipulation with LLMs
Baldomero R. Árbol, Dan Casas
Generative AI models provide a wide range of tools capable of performing complex tasks in a fraction of the time it would take a human. Among these, Large Language Models (LLMs) st…
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images
Carlos Rodriguez-Pardo, Melania Prieto-Martin, Dan Casas +1
We propose a method to estimate the mechanical parameters of fabrics using a casual capture setup with a depth camera. Our approach enables to create mechanically-correct digital r…
PERGAMO: Personalized 3D Garments from Monocular Video
Andrés Casado-Elvira, Marc Comino Trinidad, Dan Casas
Clothing plays a fundamental role in digital humans. Current approaches to animate 3D garments are mostly based on realistic physics simulation, however, they typically suffer from…
HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow
Jiayi Wang, Diogo Luvizon, Franziska Mueller +4
Reconstructing two-hand interactions from a single image is a challenging problem due to ambiguities that stem from projective geometry and heavy occlusions. Existing methods are d…
SNUG: Self-Supervised Neural Dynamic Garments
Igor Santesteban, Miguel A. Otaduy, Dan Casas
We present a self-supervised method to learn dynamic 3D deformations of garments worn by parametric human bodies. State-of-the-art data-driven approaches to model 3D garment deform…
A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond
Elena Garces, Carlos Rodriguez-Pardo, Dan Casas +1
Intrinsic imaging or intrinsic image decomposition has traditionally been described as the problem of decomposing an image into two layers: a reflectance, the albedo invariant colo…