RayCo4D: Ray-Conditioned Continuous Motion Model for Monocular 4D Dynamic Reconstruction

Yuanxiang Ni, Xianliang Huang, Ruihan Hou, Feng Xie, Hao Zhang · 2026 · arXiv

DOI: 10.48550/arXiv.2610.28351 · open-access PDF

Russian

Реконструирование динамических 3D-сценок из монокулярного видео требует вывода движения из шумных и периодически видимых наблюдений. Долгосрочные треки обеспечивают ценные геометрические ограничения, но интеграция их фрагментированного временного охвата в общее, непрерывное движение остается сложной задачей. Мы вводим \textbf{RayCo4D}, модель непрерывного движения, обусловленную лучом для монокулярной 4D-реконструкции, которая явно отделяет визуальные измерения от скрытых 3D-движения.

Machine translation (Meta M2M100); the English original follows.

Abstract

Reconstructing dynamic 3D scenes from monocular video requires inferring motion from noisy and intermittently visible observations. Long-range tracks provide valuable geometric constraints, but integrating their fragmented temporal coverage into shared, continuous motion remains challenging. We introduce \textbf{RayCo4D}, a ray-conditioned continuous motion model for monocular 4D reconstruction that explicitly separates visual measurements from latent 3D motion states. Each track is associated with a reference-time 3D query constrained to its camera ray, and its image and depth observations co

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