Pyramid Deep Fusion Network for Two-Hand Reconstruction from RGB-D Images

arXiv:2307.06038v2 Announce Type: replace
Abstract: Accurately recovering the dense 3D mesh of both hands from monocular images poses considerable challenges due to occlusions and projection ambiguity. Most of the existing methods extract features from color images to estimate the root-aligned hand meshes, which neglect the crucial depth and scale information in the real world. Given the noisy sensor measurements with limited resolution, depth-based methods predict 3D keypoints rather than a dense mesh. These limitations motivate us to take advantage of …

arxiv cs.cv fusion images network pyramid rgb-d type