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Visual aliasing, or doppelgangers, poses severe challenges to 3D reconstruction. We propose Doppelganger++, an enhanced pairwise image classifier that excels in visual disambiguation across diverse and challenging scenes. We seamlessly integrate Doppelganger++ into SfM, successfully disambiguating each scene. (Middle) Compared to prior work (which we refer to as DG-OG), Doppelgangers++ is more robust for everyday scenes, showing improved accuracy and robustness. We show pairs that DG-OG classifies incorrectly and ours gets correct. Our new VisymScenes dataset, featuring complex daily scenes, is particularly challenging for COLMAP and DG-OG, but our method can achieve correct and complete reconstructions.more » « lessFree, publicly-accessible full text available June 9, 2026
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Jin, Haian; Li, Yuan; Luan, Fujun; Xiangli, Yuanbo; Bi, Sai; Zhang, Kai; Xu, Zexiang; Sun, Jin; Snavely, Noah (, Conference on Neural Information Processing Systems (NeurIPS))Free, publicly-accessible full text available December 10, 2025
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