Dec 3, 2023 · We propose a geometry-aware garment skinning method by defining a body-garment closeness measure which works for all garment types, especially the loose ones.

Mar 14, 2024 · We propose a geometry-aware garment skinning method by defining a body-garment closeness measure which works for all garment types, especially the loose ones.

In this paper, we propose GAPS: a geometry-aware, physics-based, self-supervised neural garment draping method to fix the above-mentioned problems. Geometry-.

We propose a geometry-aware garment skinning method by defining a body-garment closeness measure which works for all garment types, especially the loose ones.

This repo is official implementation of GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping, 3DV 2024

Mar 14, 2024 · Recent neural, physics-based modeling of garment deformations allows faster and visually aesthetic results as opposed to the existing ...

In this paper, we introduce a geometrical constraint to the existing formulation that is collision-aware and imposes garment inextensibility wherever possible.

Mar 18, 2024 · In this paper, we tackle the problem of static 3D cloth draping on virtual human bodies. We introduce a two-stream deep network model that ...

GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping Ruochen Chen, Liming Chen, Shaifali Parashar 3DV, 2024 (Best student paper award)

This repo is official implementation of GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping, 3DV 2024