April 8, 2024, 4:44 a.m. | Jiayin Zhu, Linlin Yang, Angela Yao

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.04037v1 Announce Type: new
Abstract: We present InstructHumans, a novel framework for instruction-driven 3D human texture editing. Existing text-based editing methods use Score Distillation Sampling (SDS) to distill guidance from generative models. This work shows that naively using such scores is harmful to editing as they destroy consistency with the source avatar. Instead, we propose an alternate SDS for Editing (SDS-E) that selectively incorporates subterms of SDS across diffusion timesteps. We further enhance SDS-E with spatial smoothness regularization and gradient-based …

animated arxiv cs.cv cs.mm editing human type

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