ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation

S Bian, J Li, J Tang, C Lu - Proceedings of the AAAI Conference on …, 2024 - ojs.aaai.org
Accurate human shape recovery from a monocular RGB image is a challenging task
because humans come in different shapes and sizes and wear different clothes. In this …

Automated anthropometric measurements from 3D point clouds of scanned bodies

NE Garcia-D'Urso, A Macia-Lillo, H Mora-Mora… - Image and Vision …, 2024 - Elsevier
Anthropometry plays a critical role across numerous sectors, particularly within healthcare
and fashion, by facilitating the analysis of the human body structure. The significance of …

GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns

M Korosteleva, TL Kesdogan, F Kemper… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent research interest in the learning-based processing of garments, from virtual fitting to
generation and reconstruction, stumbles on a scarcity of high-quality public data in the …

[PDF][PDF] Assessing the Accuracy of Body Measurements through Regression Analysis.

J Bicevskis, E Diebelis, Z Bicevska, I Oditis… - FedCSIS (Position …, 2023 - annals-csis.org
The digitalization of individual garment pattern construction presents challenges in
accurately obtaining body measurements and constructing patterns tailored to specific …

Non-Contact Human Body Dimension Estimation Methods Based on Deep Learning: A Critical Analysis

Y Zhang - Theoretical and Natural Science, 2024 - ewadirect.com
With the advancement of information technology, Human Body Dimension Estimation
(HBDE) is moving towards digitalization and non-contact methods. This paper critically …