Instance-level roof-to-footprint offset (RFO) prediction is central to extracting building footprints from off-nadir imagery. Query-based pipelines commonly use high-dimensional instance tokens to predict signed two-dimensional RFOs. We investigate whether RFO prediction can instead use a compact offset token. Under lo...
Kai Li, Zi-Gan Zhou, Zhen-Yang Li et al.· 0 citations
This work reformulates DragOSM into DragRoof, an ODE-based framework inspired by human annotation behavior, and introduces the Oblique City dataset (ObliCity), the first large-scale benchmark that integrates high-resolution UAV imagery and globally distributed satellite data, covering diverse city morphologies and came...
Kai Li, Yupeng Deng, Li-Gao Deng et al.· arXiv.org· 0 citations
A framework that predicts an executable scene representation from sparse views and realizes it through perception-grounded asset instantiation and closed-loop spatial refinement is presented, and observation-consistent supervision is introduced that aligns each target scene with the visual evidence available in its inp...
Kai Li, Lu-Tao Jiang, Zhenyang Li et al.· 1 citation
This result provides quantitative evidence that visual observations can be translated into inspectable, editable city code with coupled planar and 3D outputs.
Zi-Gan Zhou, Kai Li, Yu-Peng Deng· 0 citations
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