Distribution and Depth-Aware Transformers for 3D Human Mesh Recovery

arXiv:2403.09063v1 Announce Type: new
Abstract: Precise Human Mesh Recovery (HMR) with in-the-wild data is a formidable challenge and is often hindered by depth ambiguities and reduced precision. Existing works resort to either pose priors or multi-modal data such as multi-view or point cloud information, though their methods often overlook the valuable scene-depth information inherently present in a single image. Moreover, achieving robust HMR for out-of-distribution (OOD) data is exceedingly challenging due to inherent variations in pose, shape and depth. Consequently, …

abstract arxiv challenge cloud cs.ai cs.cv data distribution human information mesh modal multi-modal precision recovery transformers type view