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

This story is from 2026-09-03. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.01899v1 Announce Type: new Abstract: 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 vide…

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  1. 2026-09-03 04:00 · arXiv cs.CV
    TAPVid-MV: A Benchmark for Tracking Any Point in 3D Across Multiple Views

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