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Author

Hyeonseo Yun

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Jul 2026

TanGO: Training-Free 3D Editing via Tangent-Space Guidance and Optimization

TanGO is proposed, a training-free framework that enables adaptive per-token steering in the tangent space of generative dynamics and substantially reduces structural artifacts and achieves state-of-the-art performance, outperforming existing 3D editing baselines.

Si-Woo Lim, Sunjae Yoon, Gwanhyeong Koo et al. · 1 citation
Open access Aug 2026

Action- and Language-Conditioned Video Assessment for Embodied Control

ALVA (Action- and Language-Conditioned Video Assessment), a trajectory evaluator that conditions its assessment on visual observations, the executed action sequence, and the natural language instruction, provides more effective feedback than the evaluated static image and embedding-based visual baselines and reduces th...

Hwanhee Kim, Jaehyun Jang, Seung-Min Cha et al. · 0 citations

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