Physically based cloth modeling is classically achieved through a trial and error process. The rest (undeformed) configuration of the cloth, often represented as a 2D pattern assembly, is edited geometrically and adjusted iteratively depending on the feedback provided by a static cloth simulator, which predicts the deformed 3D shape under gravity and contacts. Matching a reference 3D shape while keeping the time of the modeling process reasonable is thus difficult , unless the user possesses advanced skills in real cloth tailoring. In contrast, in this paper we investigate a new, inverse strategy for modeling realistic cloth intuitively. Our goal is to take as input a target (deformed) 3D shape, and to interpret this configuration automatic...
International audienceMeasuring contact friction in soft-bodies usually requires a specialised physi...
International audienceIn the latest years, considerable progress has been achieved for accurately ac...
International audienceWe explore the utility of deep neural networks to estimate parameters in cloth...
Physically based cloth modeling is classically achieved through a trial and error process. The rest ...
This thesis deals with the direct simulation and inverse design of garments in the presence of frict...
International audienceWe propose an inverse strategy for modeling thin elastic shells physically, ju...
International audienceCloth dynamics plays an important role in the visual appearance of moving cha...
Cette thèse porte sur la simulation directe et la conception inverse de vêtements en présence de con...
It is interesting to observe that many of the deformable objects around us are characterized by a sl...
International audienceCloth dynamics plays an important role in the visual appearance of moving char...
Inverse problems arise in various physical domains and solving them from real-world visual observati...
Friction and contact pose a great challenge to efficient and accurate simulation of deformable obje...
Cloth simulation has wide applications in computer animation, garment design, and robot-assisted dre...
We present a new method for simulation of inextensible cloth subjected to a conservative force (e.g....
Des problèmes inverses surviennent dans divers domaines physiques et les résoudre à partir d'observa...
International audienceMeasuring contact friction in soft-bodies usually requires a specialised physi...
International audienceIn the latest years, considerable progress has been achieved for accurately ac...
International audienceWe explore the utility of deep neural networks to estimate parameters in cloth...
Physically based cloth modeling is classically achieved through a trial and error process. The rest ...
This thesis deals with the direct simulation and inverse design of garments in the presence of frict...
International audienceWe propose an inverse strategy for modeling thin elastic shells physically, ju...
International audienceCloth dynamics plays an important role in the visual appearance of moving cha...
Cette thèse porte sur la simulation directe et la conception inverse de vêtements en présence de con...
It is interesting to observe that many of the deformable objects around us are characterized by a sl...
International audienceCloth dynamics plays an important role in the visual appearance of moving char...
Inverse problems arise in various physical domains and solving them from real-world visual observati...
Friction and contact pose a great challenge to efficient and accurate simulation of deformable obje...
Cloth simulation has wide applications in computer animation, garment design, and robot-assisted dre...
We present a new method for simulation of inextensible cloth subjected to a conservative force (e.g....
Des problèmes inverses surviennent dans divers domaines physiques et les résoudre à partir d'observa...
International audienceMeasuring contact friction in soft-bodies usually requires a specialised physi...
International audienceIn the latest years, considerable progress has been achieved for accurately ac...
International audienceWe explore the utility of deep neural networks to estimate parameters in cloth...