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pro vyhledávání: '"Fiche, Guénolé"'
Human Mesh Recovery (HMR) from a single RGB image is a highly ambiguous problem, as an infinite set of 3D interpretations can explain the 2D observation equally well. Nevertheless, most HMR methods overlook this issue and make a single prediction wit
Externí odkaz:
http://arxiv.org/abs/2405.18839
Autor:
Fiche, Guénolé, Leglaive, Simon, Alameda-Pineda, Xavier, Agudo, Antonio, Moreno-Noguer, Francesc
Previous works on Human Pose and Shape Estimation (HPSE) from RGB images can be broadly categorized into two main groups: parametric and non-parametric approaches. Parametric techniques leverage a low-dimensional statistical body model for realistic
Externí odkaz:
http://arxiv.org/abs/2312.08291
Pose and motion priors are crucial for recovering realistic and accurate human motion from noisy observations. Substantial progress has been made on pose and shape estimation from images, and recent works showed impressive results using priors to ref
Externí odkaz:
http://arxiv.org/abs/2306.05846