Learning Temporally Consistent Video Depth from Video Diffusion Priors

Jiahao Shao; Yuanbo Yang; Hongyu Zhou; Youmin Zhang; Yujun Shen; Vitor Guizilini; Yue Wang; Matteo Poggi; Yiyi Liao

doi:10.1109/cvpr52734.2025.02127

CVPR2025顶会

Learning Temporally Consistent Video Depth from Video Diffusion Priors

Jiahao Shao, Yuanbo Yang, Hongyu Zhou, Youmin Zhang, Yujun Shen, Vitor Guizilini, Yue Wang, Matteo Poggi, Yiyi Liao

DOI 出版方

2025年份

55顶会引用

摘要

Marigold Input Video Ours Figure 1. We present ChronoDepth, a novel method derived from video diffusion model. It can estimate video depth from arbitrarylength open-world videos while exhibiting high spatial accuracy and state-of-the-art temporal consistency.