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Zi-Yuan Liu

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Preprint Sep 2026

VidAct: Learning Manipulation from In-the-Wild Videos with Object-Centric 3D Awareness

Video demonstrations offer a scalable alternative to costly robot data for learning manipulation, yet existing reconstruction-based approaches often rely on constrained camera viewpoints or human-to-robot retargeting, while the reconstructed trajectories are difficult to adapt to new objects configurations without dist...

Hang Li, Ming-Xin Zhang, Zi-Han Wu et al. · 0 citations
#diffusion models Preprint Sep 2026

Rethinking 3D Noise: Learning 3D-Aware Video Priors via Optimization-Free Morphological Perturbations

3D scene representations like NeRF and 3D Gaussian Splatting (3DGS) suffer severe artifacts in sparse-view settings. Recent generative 3D artifact fixers attempt to address this, but rely on paired corrupted and clean renders requiring costly, per-scene reconstructions across varying view configurations. While 2D image...

Onat Şahin, Mohammad Altillawi, George Eskandar et al. · 0 citations

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