M-FUSE: Multi-frame Fusion for Scene Flow Estimation
Author:
Affiliation:
1. University of Stuttgart,Institute for Visualization and Interactive Systems
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030262.pdf?arnumber=10030262
Reference44 articles.
1. CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation
2. Tangent Space Backpropagation for 3D Transformation Groups
3. Two-Stage Adaptive Object Scene Flow Using Hybrid CNN-CRF Model
4. RAFT-3D: Scene Flow using Rigid-Motion Embeddings
5. Deep Rigid Instance Scene Flow
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1. GloFP-MSF: monocular scene flow estimation with global feature perception;Multimedia Systems;2024-07-30
2. DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
3. EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
4. Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
5. A Survey of CNN-Based Techniques for Scene Flow Estimation;IEEE Access;2023
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