TL;DR
The proposed method combines adapter-based preprocessing, architectural-axis inference and boundary regularization, and a persistent adaptive beam search that prioritizes promising splits while enforcing geometric validity and minimum-area constraints.
Extracting building footprints from aerial or satellite imagery remains a significant challenge, particularly in maintaining the geometric regularity of man-made structures. While polygon-based methods offer vectorized representations superior to pixel-based approaches, they often struggle with corner ambiguity and fai...
The decomposition of 3D point clouds into interpretable geometric primitives remains a longstanding challenge in Computer Vision and Computer Graphics. Among the available representations, superquadrics offer a compact and expressive model capable of capturing a wide range of shapes. However, their estimation is inhere...
PolarSym is proposed, a polar-coordinate geometry-aware attention framework for CAD plan parsing that improves the geometric awareness of Transformers at low computational cost, offering an effective geometric modeling paradigm for CAD plan parsing.
Recent advances in 3D reconstruction have enabled the automated generation of city models from LiDAR point clouds and aerial imagery. Although these methods produce visually convincing models, they are primarily designed for visualization purposes and often lack the geometric and topological quality required for Urban...
SALI-FP is introduced, an evidence-gated multimodal pipeline that converts a plan into reviewable semantic maps, objects, vectors, and relation records while constraining local revisions by image evidence.
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