GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping

3 December 2023

Papers citing "GAPS: Geometry-Aware, Physics-Based, Self-Supervised Neural Garment Draping"

5 / 5 papers shown

Title
Generating ensembles of spatially-coherent in-situ forecasts using flow matching David Landry C. Monteleoni A. Charantonis 71 0 0 04 Apr 2025
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing Garvita Tiwari Bharat Lal Bhatnagar Tony Tung Gerard Pons-Moll 3DH 3DPC AI4CE 78 127 0 22 Jul 2020
GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss Erhan Gundogdu Victor Constantin Shaifali Parashar Amrollah Seifoddini Minh Dang Mathieu Salzmann Pascal Fua 3DH 76 40 0 20 Jul 2020
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style Chaitanya Patel Zhouyingcheng Liao Gerard Pons-Moll 3DH AI4CE 66 255 0 10 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,109 0 02 Dec 2016