activity
20182025
most citedLIMP: Learning Latent Shape Representations with Metric Preservation Priors

42 citations · 76 across the 7 of their papers we have counts for

collaborators

8 papers

cs.GR2025

PGC: Physics-Based Gaussian Cloth from a Single Pose

Michelle Guo, Matt Jen-Yuan Chiang, Igor Santesteban +9

We introduce a novel approach to reconstruct simulation-ready garments with intricate appearance. Despite recent advancements, existing methods often struggle to balance the need f…

cs.GR2023★ 1 cited

PhysGraph: Physics-Based Integration Using Graph Neural Networks

Oshri Halimi, Egor Larionov, Zohar Barzelay +2

Physics-based simulation of mesh based domains remains a challenging task. State-of-the-art techniques can produce realistic results but require expert knowledge. A major bottlenec…

cs.CV2022★ 3 cited

FETA: Towards Specializing Foundation Models for Expert Task Applications

Amit Alfassy, Assaf Arbelle, Oshri Halimi +10

Foundation Models (FMs) have demonstrated unprecedented capabilities including zero-shot learning, high fidelity data synthesis, and out of domain generalization. However, as we sh…

cs.CV2022★ 7 cited

Garment Avatars: Realistic Cloth Driving using Pattern Registration

Oshri Halimi, Fabian Prada, Tuur Stuyck +7

Virtual telepresence is the future of online communication. Clothing is an essential part of a person's identity and self-expression. Yet, ground truth data of registered clothes i…

cs.LG2020★ 42 cited

LIMP: Learning Latent Shape Representations with Metric Preservation Priors

Luca Cosmo, Antonio Norelli, Oshri Halimi +2

In this paper, we advocate the adoption of metric preservation as a powerful prior for learning latent representations of deformable 3D shapes. Key to our construction is the intro…

cs.CV2020★ 11 cited

The Whole Is Greater Than the Sum of Its Nonrigid Parts

Oshri Halimi, Ido Imanuel, Or Litany +4

According to Aristotle, a philosopher in Ancient Greece, "the whole is greater than the sum of its parts". This observation was adopted to explain human perception by the Gestalt p…