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
Show: All | Accuracy | Robustness
💡 Please note that methods marked "submitted by spring team" have not been finetuned on Spring.
Name |
robust ▲ EPE |
robust Fl |
robust 1px |
|
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1 | n/a | n/a | n/a | |
π‘ 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 | n/a | n/a | n/a | |
π‘ 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 | n/a | n/a | n/a | |
π‘ 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 | |
π‘ 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 | |
π‘ 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 | |
π‘ 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 | |
π‘ 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 | |
π‘ 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 |
π‘ 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 |
π‘ 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 |
π‘ 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 |
CamLiFlow (F)
[SF]
code
|
n/a | n/a | n/a |
π‘ 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 |
CamLiFlow (K)
[SF]
code
|
n/a | n/a | n/a |
π‘ 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 |
π‘ 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 | 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 | 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 | 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. |