Zero-Shot Monocular Scene Flow Estimation in the Wild
Yiqing Liang, Abhishek Badki, Hang Su, James Tompkin, Orazio Gallo
2025年份
10顶会引用
摘要
Figure 1. Our model for monocular scene flow estimation predicts accurate pointmaps and 3D offsets for dynamic scenes from two input images (shown below each pane) captured by two cameras C1 and C2 at times t1 an t2, respectively. The image shows an interpolation of the pointmaps from C1 at t1 to C2 at t2. These examples are from datasets not seen in training, showcasing the strong generalization abilities of our method.
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引用它的顶会 Paper10
- Enhancing 3D Reconstruction for Dynamic ScenesJisang Han, Honggyu An, Jaewoo Jung, Takuya Narihira 等NeurIPS 2025 · 被引用 11 次
- DeltaFlow: An Efficient Multi-frame Scene Flow Estimation MethodQingwen Zhang, Xiaomeng Zhu, Yushan Zhang, Yixi Cai 等NeurIPS 2025 · 被引用 8 次
- Flow3r: Factored Flow Prediction for Scalable Visual Geometry LearningZhongxiao Cong, Qitao Zhao, Minsik Jeon, Shubham TulsianiCVPR 2026 · 被引用 8 次
- LASER: Layer-wise Scale Alignment for Training-Free Streaming 4D ReconstructionTianye Ding, Yiming Xie, Yiqing Liang, Moitreya Chatterjee 等CVPR 2026 · 被引用 6 次
- UFO-4D: Unposed Feedforward 4D Reconstruction from Two ImagesJunhwa Hur, Charles Herrmann, Songyou Peng, Philipp Henzler 等ICLR 2026 · 被引用 5 次
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