InstructHumans: Editing Animated 3D Human Textures with Instructions

• URL: http://arxiv.org/abs/2404.04037v1
• Date: Fri, 5 Apr 2024 11:45:03 GMT
• Title: InstructHumans: Editing Animated 3D Human Textures with Instructions
• Authors: Jiayin Zhu, Linlin Yang, Angela Yao,
• Abstract summary: We present InstructHumans, a novel framework for instruction-driven 3D human texture editing. InstructHumans significantly outperforms existing 3D editing methods, consistent with the initial avatar.
• Score: 40.012406098563204
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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 viewpoint sampling to achieve high-quality edits with sharp and high-fidelity detailing. InstructHumans significantly outperforms existing 3D editing methods, consistent with the initial avatar while faithful to the textual instructions. Project page: https://jyzhu.top/instruct-humans .

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