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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
VHS  
13.726 13.368 35.317 11.646 55.022 12.618 30.565 12.106 13.249 18.223 4.235 5.940
Anonymous.
4
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.
5
LTNet  
15.244 14.949 33.016 13.181 56.201 10.373 89.264 21.231 11.307 15.637 0.825 3.912
Anonymous.
6
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.
7
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.
8
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.
9
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.
10
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
 
11
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.
12
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.
13
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.
14
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.
15
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.
16
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.