English

InstructHumans: Editing Animated 3D Human Textures with Instructions

Computer Vision and Pattern Recognition 2026-03-06 v2 Multimedia

Abstract

We present InstructHumans, a novel framework for instruction-driven {animatable} 3D human texture editing. Existing text-based 3D editing methods often directly apply Score Distillation Sampling (SDS). SDS, designed for generation tasks, cannot account for the defining requirement of editing -- maintaining consistency with the source avatar. This work shows that naively using SDS harms editing, as it may destroy consistency. We propose a modified 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 viewpoint sampling for edits with sharp and high-fidelity detailing. Incorporating SDS-E into a 3D human texture editing framework allows us to outperform existing 3D editing methods. Our avatars faithfully reflect the textual edits while remaining consistent with the original avatars. Project page: https://jyzhu.top/instruct-humans/.

Keywords

Cite

@article{arxiv.2404.04037,
  title  = {InstructHumans: Editing Animated 3D Human Textures with Instructions},
  author = {Jiayin Zhu and Linlin Yang and Angela Yao},
  journal= {arXiv preprint arXiv:2404.04037},
  year   = {2026}
}

Comments

Accepted for publication in IEEE Transactions on Multimedia (TMM), 2025

R2 v1 2026-06-28T15:45:03.144Z