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About this paper
Jeng Wen Joshua Lean, Ting-Yu Yen, Wei-Fang Sun, Simon See, Hung-Kuo Chu, Shih-Hsuan Hung
G3AR groups aerial images into bounded chunks using verified visual-overlap links, reconstructs each chunk with a feed-forward geometry model, and joins the results with a maximum-spanning tree. Across four real scenes, it achieved ATE RMSE 1.855 in 9 min 42 s, versus VGGT-Long’s 2.355 in 23 min 50 s, using chunks capped at 95 images; COLMAP had lower error.
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