Recent approaches to drape garments quickly over arbitrary human bodies leverage self- supervision to eliminate the need for large training sets. However, they are designed to train …
A Davydov, A Remizova, V Constantin… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract The Skinned Multi-Person Linear (SMPL) model represents human bodies by mapping pose and shape parameters to body meshes. However, not all pose and shape …
R Li, B Guillard, P Fua - Advances in Neural Information …, 2024 - proceedings.neurips.cc
Many approaches to draping individual garments on human body models are realistic, fast, and yield outputs that are differentiable with respect to the body shape on which they are …
Existing data-driven methods for draping garments over human bodies, despite being effective, cannot handle garments of arbitrary topology and are typically not end-to-end …
While modeling people wearing tight-fitting clothing has made great strides in recent years loose-fitting clothing remains a challenge. We propose a method that delivers realistic …
N Zioulis, JF O'Brien - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
KBody is a method for fitting a low-dimensional body model to an image. It follows a predict- and-optimize approach, relying on data-driven model estimates for the constraints that will …
X Chen, J Zhang, K Wang, P Wei… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The performance of existing methods for multi-person 3D pose estimation in crowded scenes is still limited, due to the challenge of heavy overlapping among persons. Attempt to …
We present a Body Measurement network (BMnet) for estimating 3D anthropomorphic measurements of the human body shape from silhouette images. Training of BMnet is …
E Tartaglione - arXiv preprint arXiv:2210.00891, 2022 - arxiv.org
Deep learning models are nowadays broadly deployed to solve an incredibly large variety of tasks. Commonly, leveraging over the availability of" big data", deep neural networks are …