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2026-03-02 21:53:58
raw text
RoDynRF: Robust Dynamic Radiance Fields RoDynRF Robust Dynamic Radiance Fields Yu-Lun Liu 🌴 , Chen Gao ∞ , Andreas Meuleman , Hung-Yu Tseng ∞ , Ayush Saraf ∞ , Changil Kim ∞ , Yung-Yu Chuang 🌴 Johannes Kopf ∞ Jia-Bin Huang ∞ ,🐢 ∞ Meta, 🌴 National Taiwan University, KAIST, 🐢 University of Maryland, College Park CVPR 2023 arXiv Video Supp Code Evaluation Results RoDynRF takes a casually captured video as input and reconstructs the camera trajectory and dynamic radiance fields. Conventional SfM system such as COLMAP fails to recover camera poses (even when using ground truth motion masks). As a result, existing dynamic radiance field methods that require accurate pose estimation are inapplicable to these challenging dynamic scenes. RoDynRF tackles this robustness problem and showcases high-fidelity dynamic view synthesis results on a wide variety of videos. Abstract Dynamic radiance field recon...
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