MVDG: Efficient Multi-view 3D Disambiguation on Unconstrained Real-World Images

arXiv:2610.01098 · cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Accuracy — 43× in this paper · explained in 1 episode
• AUC — 17× in this paper · explained in 2 episodes
• Fine-Tuning — 10× in this paper · explained in 5 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Transformer — 7× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Multi-View Stereo — 4× in this paper
• Ablation study — 3× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition — 3× in this paper
• Foundation Model — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Pruning — 2× in this paper · explained in 4 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Annotation Errors — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes

Sources

• Doppelgangers: Learning to Disambiguate Images of Similar Structures
• SuperPoint: Self-Supervised Interest Point Detection and Description
• Grounding Image Matching in 3D with MASt3R
• SuperGlue: Learning Feature Matching with Graph Neural Networks
• FastVGGT: Training-Free Acceleration of Visual Geometry Transformer
• LoFTR: Detector-Free Local Feature Matching with Transformers
• 3D Reconstruction with Spatial Memory
• DUSt3R: Geometric 3D Vision Made Easy
• Doppelgangers++: Improved Visual Disambiguation with Geometric 3D Features
• Learning to Find Good Correspondences

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