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Spring: L. Mehl, J. Schmalfuss, A. Jahedi, Y. Nalivayko, A. Bruhn — University of Stuttgart

RobustSpring: J. Schmalfuss, V. Oei, L. Mehl, M. Bartsch, S. Agnihotri, M. Keuper, A. Bruhn

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Show: All | Accuracy | Robustness

💡 Please note that methods marked "submitted by spring team" have not been finetuned on Spring.

Name robust ▲
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1 n/a n/a n/a
πŸ’‘ submitted by spring team | A. Jahedi, M. Luz, M. Rivinius, L. Mehl, and A. Bruhn. "MS-RAFT+: High Resolution Multi-Scale RAFT " International Journal of Computer Vision (IJCV), 2023
2
RAFT   code
n/a n/a n/a
πŸ’‘ submitted by spring team | Z. Teed, and J. Deng. "RAFT: Recurrent All-Pairs Field Transforms for Optical Flow." In European Conference on Computer Vision (ECCV), 2020.
3
GMA   code
n/a n/a n/a
πŸ’‘ submitted by spring team | S. Jiang, D. Campbell, Y. Lu, H. Li, and R. Hartley. "Learning to Estimate Hidden Motions with Global Motion Aggregation." In IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
4 n/a n/a n/a
πŸ’‘ submitted by spring team | Z. Huang, X. Shi, C. Zhang, Q. Wang, K. C. Cheung, H. Qin, J. Dai, and H. Li. "FlowFormer: A Transformer Architecture for Optical Flow." In European Conference on Computer Vision (ECCV), 2022.
5 n/a n/a n/a
πŸ’‘ submitted by spring team | A. Ranjan, and M. J. Black. "Optical Flow Estimation using a Spatial Pyramid Network." In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
6 n/a n/a n/a
πŸ’‘ submitted by spring team | E. Ilg, N. Mayer, T. Saikia, M. Keuper, A. Dosovitskiy, and T. Brox. "FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks." In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
7 n/a n/a n/a
πŸ’‘ submitted by spring team | D. Sun, X. Yang, M. Liu, and J. Kautz. "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume." In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
8 n/a n/a n/a
πŸ’‘ submitted by spring team | H. Xu, J. Zhang, J. Cai, H. Rezatofighi, and D. Tao. "GMFlow: Learning Optical Flow via Global Matching." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
9
M-FUSE (F) [SF]   code
n/a n/a n/a
πŸ’‘ submitted by spring team | L. Mehl, A. Jahedi, J. Schmalfuss, and A. Bruhn. "M-FUSE: Multi-frame Fusion for Scene Flow Estimation." In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
10
RAFT-3D (F) [SF]   code
n/a n/a n/a
πŸ’‘ submitted by spring team | Z. Teed, and J. Deng. "RAFT-3D: Scene Flow using Rigid-Motion Embeddings." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
11
M-FUSE (K) [SF]   code
n/a n/a n/a
πŸ’‘ submitted by spring team | L. Mehl, A. Jahedi, J. Schmalfuss, and A. Bruhn. "M-FUSE: Multi-frame Fusion for Scene Flow Estimation." In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
12 n/a n/a n/a
πŸ’‘ submitted by spring team | H. Liu, T. Lu, Y. Xu, J. Liu, W. Li, and L. Chen. "CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
13 n/a n/a n/a
πŸ’‘ submitted by spring team | H. Liu, T. Lu, Y. Xu, J. Liu, W. Li, and L. Chen. "CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
14
RAFT-3D (K) [SF]   code
n/a n/a n/a
πŸ’‘ submitted by spring team | Z. Teed, and J. Deng. "RAFT-3D: Scene Flow using Rigid-Motion Embeddings." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
15 n/a n/a n/a
H. Morimitsu, X. Zhu, X. Ji, and X. Yin. "Recurrent Partial Kernel Network for Efficient Optical Flow Estimation". In The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.
16 n/a n/a n/a
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow. Weinzaepfel et al. ICCV 2023.
17
PWOC-3D [SF]   code
n/a n/a n/a
R. Saxena, R. Schuster, O. Wasenmuller, and D. Stricker. "PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation." In IEEE Intelligent Vehicles Symposium (IV), 2019.
18
Win-Win  
n/a n/a n/a
Win-Win: Training High-Resolution Vision Transformers from Two Windows. Leroy et al. ICLR 2024.
19 n/a n/a n/a
 
20 n/a n/a n/a
Qiaole Dong, Yanwei Fu. MemFlow: Optical Flow Estimation and Prediction with Memory. CVPR 2024.
21 n/a n/a n/a
Qiaole Dong, Yanwei Fu. MemFlow: Optical Flow Estimation and Prediction with Memory. CVPR 2024.
22 n/a n/a n/a
SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow. Wang et al. ECCV 2024
23 n/a n/a n/a
SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow. Wang et al. ECCV 2024
24 n/a n/a n/a
H. Morimitsu et al. "DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework". CVPR 2025.
25 n/a n/a n/a
Sun Shangkun, et al. "StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences". NeurIPS 2024.
26 n/a n/a n/a
Sun Shangkun, et al. "StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences". NeurIPS 2024.
27 n/a n/a n/a
H. Morimitsu et al. "DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework". CVPR 2025.
28
MS-RAFT-3D [SF]  
n/a n/a n/a
Anonymous.
29
MEMFOF  
n/a n/a n/a
Anonymous.
30
MS-RAFT-3D+ [SF]  
n/a n/a n/a
Anonymous.
31 n/a n/a n/a
Anonymous.
32 n/a n/a n/a
Anonymous.
33 n/a n/a n/a
Anonymous.