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Paper · 2109.05633 · NeurIPS · 2021

Generating Datasets of 3D Garments with Sewing Patterns

Maria Korosteleva, Sung-Hee Lee

arXiv · PDF · Open in the Atlas

Code that ran

We lifted 3 functions out of this paper's own repositories and ran 0 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.

RepositoryRoleRan
maria-korosteleva/garment-pattern-generator canonical 0 of 3
FunctionStatusWhere it lives
R_to_euler Not yet run maria-korosteleva/garment-pattern-generator/packages/pattern/rotation.py
code served (permissive licence) · get_code("3a15d2fae0317107")
euler_xyz_to_R Not yet run maria-korosteleva/garment-pattern-generator/packages/pattern/rotation.py
code served (permissive licence) · get_code("91db39c259d5afef")
transfer_segm_labels Not yet run maria-korosteleva/garment-pattern-generator/data_generation/datascan.py
code served (permissive licence) · get_code("5b93811e1aff273e")

Repositories linked to this paper

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Abstract

Figure 1: Example garments from our dataset of 3D Garments with Sewing patterns. The dataset is obtained with our original garment generation pipeline that samples novel designs in sewing patterns space.

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