Template-Free Single-View 3D Human Digitalization with Diffusion-Guided LRM

arXiv:2401.12175v2 Announce Type: replace
Abstract: Reconstructing 3D humans from a single image has been extensively investigated. However, existing approaches often fall short on capturing fine geometry and appearance details, hallucinating occluded parts with plausible details, and achieving generalization across unseen and in-the-wild datasets. We present Human-LRM, a diffusion-guided feed-forward model that predicts the implicit field of a human from a single image. Leveraging the power of the state-of-the-art reconstruction model (i.e., LRM) and generative model (i.e Stable Diffusion), our method …

abstract arxiv cs.cv datasets diffusion digitalization free geometry however human humans image lrm template type view