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TAPVid-MV: A Benchmark for Tracking Any Point in 3D Across Multiple Views

Koppula, Skanda et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Multi-camera systems are increasingly practical for robotics, AR/VR, and autonomous driving because complementary views reduce depth ambiguity and preserve visibility under occlusion. Existing point-tracking benchmarks, however, focus on a single video or static multi-camera rigs. None test long-ter
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