mlsanityData to 14 Oct 2026

MS-RAFT-3D: A Multi-Scale Architecture for Recurrent Image-Based Scene Flow

arXiv 2506.01443 ↗First posted 2 Jun 2025cs.CVcited by 2

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Abstract (arXiv)

Although multi-scale concepts have recently proven useful for recurrent network architectures in the field of optical flow and stereo, they have not been considered for image-based scene flow so far. Hence, based on a single-scale recurrent scene flow backbone, we develop a multi-scale approach that generalizes successful hierarchical ideas from optical flow to image-based scene flow. By considering suitable concepts for the feature and the context encoder, the overall coarse-to-fine framework and the training loss, we succeed to design a scene flow approach that outperforms the current state of the art on KITTI and Spring by 8.7%(3.89 vs. 4.26) and 65.8% (9.13 vs. 26.71), respectively. Our code is available at https://github.com/cv-stuttgart/MS-RAFT-3D.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 17 of its 26 references that are in the map. First posted on arXiv 2 Jun 2025.

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17 of 26 references.

References · 17

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2016Feature Pyramid Networks for Object Detectioncited by 5,036
  3. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,415
  4. 2015A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimationcited by 881
  5. 2021RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matchingcited by 353
  6. 2022Unifying Flow, Stereo and Depth Estimationcited by 275
  7. 2022Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlationcited by 197
  8. 2023Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereocited by 172
  9. 2022CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flowcited by 166
  10. 2020RAFT-3D: Scene Flow using Rigid-Motion Embeddingscited by 122
  11. 2021CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimationcited by 56
  12. 2021Learning to Segment Rigid Motions from Two Framescited by 46
5 more
  1. 2019PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimationcited by 20
  2. 2023CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoningcited by 15
  3. 2023Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusioncited by 10
  4. 2022SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and Selectioncited by 6
  5. 2023Attentive Multimodal Fusion for Optical and Scene Flowcited by 3

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Citing papers per year: 2026: 2.

2 papers.