RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance

arXiv:2404.13984v1 Announce Type: new
Abstract: Although diffusion models can generate high-quality human images, their applications are limited by the instability in generating hands with correct structures. Some previous works mitigate the problem by considering hand structure yet struggle to maintain style consistency between refined malformed hands and other image regions. In this paper, we aim to solve the problem of inconsistency regarding hand structure and style. We propose a conditional diffusion-based framework RHanDS to refine the hand region with the …

abstract applications arxiv cs.cv diffusion diffusion models generate generated guidance human human images images quality struggle style type