Author

Wen-Bin Teng

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Preprint Oct 2026

STRIKE: Learning Visual State Transitions for Physical World Modeling

Physical world modeling requires predicting how interactions change a scene, not merely generating coherent motion. We propose STRIKE, a framework that separates visual state transition learning from dense video generation. We construct event-aligned supervision by extracting observed states from training videos and pa...

Wen-Bin Teng, Tian-Shuo Xu, De-Pu Meng et al. · 0 citations

Preprint Oct 2026

MVDG: Efficient Multi-view 3D Disambiguation on Unconstrained Real-World Images

Illusory matches between distinct yet visually similar 3D surfaces--doppelgangers--remain a fundamental obstacle for large-scale, in-the-wild 3D reconstruction and visual localization. Prior work mitigates this issue with pairwise classifiers, but this design limits multi-view contextual reasoning and incurs O(n^2) inf...

Han-Yuan Xiao, Gong-Lin Chen, Hao-Lin Xiong et al. · 0 citations

Preprint Aug 2026

XDG: Accelerated Visual Disambiguation

XDG is introduced, an efficient visual disambiguation model designed for scalable SfM that remains competitive with the state-of-the-art disambiguation method across pairwise and reconstruction benchmarks and delivers more than a 3x inference speedup.

Gong-Lin Chen, Ben Southall, Han-Yuan Xiao et al. · 0 citations