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2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

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cs.CV 2

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2026 2

representative citing papers

Wat3R: Underwater 3D Geometry Learning without Annotations

cs.CV · 2026-07-09 · accept · novelty 6.0

A teacher-student semi-supervised framework adapts VGGT-based feed-forward 3D reconstruction to underwater environments using synthetic degraded on-land data and unlabeled real underwater video, achieving state-of-the-art underwater depth and point cloud estimation without any underwater 3D labels.

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Showing 2 of 2 citing papers.

  • AirZoo: A Unified Large-Scale Dataset for Grounding Aerial Geometric 3D Vision cs.CV · 2026-04-29 · unverdicted · none · ref 5 · 2 links

    AirZoo is a new dataset covering 378 regions across 22 countries with pixel-level metric depth and 6-DoF poses, shown via benchmarks to improve SoTA models on aerial image retrieval, cross-view matching, and multi-view 3D reconstruction.

  • Wat3R: Underwater 3D Geometry Learning without Annotations cs.CV · 2026-07-09 · accept · none · ref 6

    A teacher-student semi-supervised framework adapts VGGT-based feed-forward 3D reconstruction to underwater environments using synthetic degraded on-land data and unlabeled real underwater video, achieving state-of-the-art underwater depth and point cloud estimation without any underwater 3D labels.