no code implementations • CVPR 2023 • Hugo Bertiche, Niloy J. Mitra, Kuldeep Kulkarni, Chun-Hao Paul Huang, Tuanfeng Y. Wang, Meysam Madadi, Sergio Escalera, Duygu Ceylan
We investigate the problem in the context of dressed humans under the wind.
1 code implementation • 13 Dec 2022 • Hugo Bertiche, Meysam Madadi, Sergio Escalera
Here, we propose the first methodology able to learn realistic cloth dynamics unsupervisedly, and henceforth, a general formulation for neural cloth simulation.
1 code implementation • 3 Oct 2021 • Hugo Bertiche, Meysam Madadi, Sergio Escalera
Nonetheless, their memory footprint also grows rapidly and their parallelization in a GPU is problematic due to their branching nature.
no code implementations • 23 Jun 2021 • Meysam Madadi, Hugo Bertiche, Sergio Escalera
In this paper we propose the first deep unsupervised approach in human body reconstruction to estimate body surface from a sparse set of landmarks, so called DeepMurf.
1 code implementation • 21 Dec 2020 • Hugo Bertiche, Meysam Madadi, Sergio Escalera
While deep-based approaches in the domain are becoming a trend, these are data-hungry models.
1 code implementation • ICCV 2021 • Hugo Bertiche, Meysam Madadi, Emilio Tylson, Sergio Escalera
We present a novel solution to the garment animation problem through deep learning.
1 code implementation • ECCV 2020 • Hugo Bertiche, Meysam Madadi, Sergio Escalera
We provide the dataset with a generative model for cloth generation.
no code implementations • 27 Dec 2018 • Meysam Madadi, Hugo Bertiche, Sergio Escalera
By implementing SMPLR as an encoder-decoder we avoid the need of complex constraints on pose and shape.