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

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

Name 1px ▲
total 		1px
low-detail 		1px
high-detail 		1px
matched 		1px
unmatched 		1px
not sky 		1px
sky 		1px
s0-10 		1px
s10-40 		1px
s40+ 		Abs D1
 
1
CroCo-Stereo   code
7.135 6.824 25.893 5.940 30.855 7.371 3.550 2.934 7.757 13.247 0.471 2.705
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow. Weinzaepfel et al. ICCV 2023.
2
IInet  
10.003 9.630 32.504 8.457 40.707 10.305 5.420 5.865 10.761 15.590 0.761 3.784
Anonymous.
3
ACVNet   code
14.772 14.432 35.273 12.600 57.894 11.163 69.621 18.386 11.346 18.145 1.516 5.346
πŸ’‘ submitted by spring team | G. Xu, J. Cheng, P. Guo, and X. Yang. "Attention Concatenation Volume for Accurate and Efficient Stereo Matching." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
4
RAFT-Stereo   code
15.273 14.983 32.774 13.394 52.582 9.924 96.571 22.588 10.018 17.086 3.025 8.626
πŸ’‘ submitted by spring team | L. Lipson, Z. Teed, and J. Deng. "RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching." In International Conference on 3D Vision (3DV), 2021.
5
PWOC-3D [SF]   code
18.226 17.831 42.067 16.020 62.014 15.946 52.877 18.279 12.716 34.570 1.343 5.887
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.
6
LEAStereo   code
19.888 19.547 40.396 17.611 65.086 16.735 67.805 19.076 13.861 39.412 3.884 9.194
πŸ’‘ submitted by spring team | X. Cheng, Y. Zhong, M. Harandi, Y. Dai, X. Chang, H. Li, T. Drummond, and Z. Ge. "Hierarchical Neural Architecture Search for Deep Stereo Matching." In NeurIPS, 2020.
7
M-FUSE (F) [SF]   code
19.888 19.547 40.396 17.611 65.086 16.735 67.805 19.076 13.861 39.412 3.884 9.194
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.
8
SplatFlow3D (C+T) + LEAStereo (Things); Two-frame [SF]   code
19.888 19.547 40.396 17.611 65.086 16.735 67.805 19.076 13.861 39.412 3.884 9.194
 
9
GANet   code
23.225 22.912 42.064 20.976 67.878 18.418 96.274 24.286 16.427 41.499 4.594 10.393
πŸ’‘ submitted by spring team | F. Zhang, V. Prisacariu, R. Yang, and P. HS Torr. "GA-Net: Guided Aggregation Net for End-to-end Stereo Matching." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
10
RAFT-3D (F) [SF]   code
23.225 22.912 42.064 20.976 67.878 18.418 96.274 24.286 16.427 41.499 4.594 10.393
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
CamLiFlow (F) [SF]   code
23.225 22.912 42.064 20.976 67.878 18.418 96.274 24.286 16.427 41.499 4.594 10.393
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.
12
CamLiFlow (K) [SF]   code
32.309 32.096 45.189 30.071 76.734 27.963 98.355 39.354 22.522 48.158 7.042 14.174
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
RAFT-3D (K) [SF]   code
32.309 32.096 45.189 30.071 76.734 27.963 98.355 39.354 22.522 48.158 7.042 14.174
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.
14
M-FUSE (K) [SF]   code
52.232 52.185 55.051 50.647 83.685 49.104 99.771 80.774 34.056 52.347 7.890 19.836
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.