CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization

arXiv:2402.17214v1 Announce Type: new
Abstract: In the field of digital content creation, generating high-quality 3D characters from single images is challenging, especially given the complexities of various body poses and the issues of self-occlusion and pose ambiguity. In this paper, we present CharacterGen, a framework developed to efficiently generate 3D characters. CharacterGen introduces a streamlined generation pipeline along with an image-conditioned multi-view diffusion model. This model effectively calibrates input poses to a canonical form while retaining key attributes of the …

abstract arxiv characters complexities cs.cv digital digital content framework images paper quality type view