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New SK-Adapter framework enables precise skeletal control for 3D generation

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced SK-Adapter, a novel framework designed to provide precise structural control for native 3D generative models. Unlike existing methods that rely on ambiguous text or image prompts, SK-Adapter utilizes 3D skeletons as a direct control signal. The framework encodes joint coordinates and topology into learnable tokens, which are integrated into existing 3D generation backbones via cross-attention. To support this, a new dataset called Objaverse-TMS, containing 24,000 text-mesh-skeleton pairs, has been created. Experiments demonstrate that SK-Adapter effectively controls 3D structure while maintaining the quality of the original generation model and outperforms current baselines, also enabling region-specific editing of 3D assets. AI

IMPACT Enables more precise and controllable generation of 3D assets, potentially impacting fields like game development and virtual reality.

RANK_REASON The cluster contains an academic paper detailing a new method for 3D generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New SK-Adapter framework enables precise skeletal control for 3D generation

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The cluster contains an academic paper detailing a new method for 3D generation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Anbang Wang, Yuzhuo Ao, Shangzhe Wu, Chi-Keung Tang ·

    SK-Adapter: Skeleton-Based Structural Control for Native 3D Generation

    arXiv:2603.14152v2 Announce Type: replace Abstract: Native 3D generative models have achieved remarkable fidelity and speed, yet they suffer from a critical limitation: inability to prescribe precise structural articulations, where precise structural control within the native 3D …

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