Author

Dave Zhenyu Chen

Technical University of Munich

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#artificial intelligence Jun 2026

OneCanvas: 3D Scene Understanding via Panoramic Reprojection

This work aggregates patch features from all views onto a single equirectangular panoramic canvas, and introduces a spatial pretraining curriculum by procedurally placing patch features of objects at chosen 3D world positions on an otherwise empty canvas, generating on-the-fly supervision spanning a broad range of spat...

Bartłomiej Baranowski, Dave Zhenyu Chen, Matthias Nießner · arXiv.org · 0 citations

#artificial intelligence Preprint Sep 2026

SpatialSpeak: QA-Native Reconstruction with Local and Global Context for Spatial Chain-of-Thought Reasoning

SpatialSpeak is introduced, a two-stage framework that connects QA-native reconstruction pretraining with spatial CoT learning and achieves state-of-the-art results on ReVSI, VSI-Bench, and SPAR-Bench, with a ReVSI score of 62.8 that exceeds the strongest compared baseline by 8.7 points.

Yang Cao, Jia-Xin Zhang, Dave Zhenyu Chen et al. · 0 citations

Jul 2026

AsySplat: Efficient Asymmetric 3D Gaussian Splatting for Long-Sequence Scene Modeling

This model matches optimization-based methods while delivering nearly 800x speedup, and surpasses the zero-shot performance of state-of-the-art generalizable models with markedly fewer parameters and reduced training/inference overhead, achieving an overall efficiency improvement.

Yingji Zhong, Dave Zhenyu Chen, Fu-Zhao Ou et al. · arXiv.org · 0 citations