Optical Flow Estimation on KITTI 2015 (train)
0.47Fl-epeStreamFlow
Evaluation results
| Method | Links | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| StreamFlowTraining Data=(C+)T+S+K+H, Warm-start strategy=false2023.11 | 0.47 | 0.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TransFlowTraining Data=(C+)T+S+K+H, Warm-start strategy=false2023.11 | 0.49 | 1.05 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SKFlowTraining Data=C+T+S+K+H, warm-start strategy=true2023.03 | 0.51 | 0.94 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SKFlowTraining Data=(C+)T+S+K+H, Warm-start strategy=true2023.11 | 0.51 | 0.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VideoFlow-BOFTraining Data=(C+)T+S+K+H, Warm-start strategy=false2023.11 | 0.52 | 0.85 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FlowFormerTraining Data=C+T+S+K+H2022.03 | 0.53 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FlowFormerTraining Data=C+T+S+K+H2023.03 | 0.53 | 1.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FlowFormerTraining Data=(C+)T+S+K+H, Warm-start strategy=false2023.11 | 0.53 | 1.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FlowFormerSupervision=Supervised2026.04 | 0.53 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MFRFlowTraining Data=(C+)T+S+K+H, Warm-start strategy=false2023.11 | 0.54 | 1.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MFCFlowTraining Data=(C+)T+S+K+H, Warm-start strategy=false2023.11 | 0.55 | 1.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GMA (position-only)Training Data=C + T + S/K (+ H), Condition=Fine-tuned2021.04 | 0.56 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.2 | — | |
| VideoFlowSupervision=Supervised, Multi-frame data usage=true2026.04 | 0.56 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GMATraining Data=C + T + S/K (+ H), Condition=Fine-tuned2021.04 | 0.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.2 | — | |
| GMATraining Data=C + T + S/K + H2022.03 | 0.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.2 | — | |
| GMATraining Data=C+T+S+K+H, warm-start strategy=true2022.03 | 0.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GMATraining Data=C+T+S+K+H, warm-start strategy=true2023.03 | 0.57 | 1.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CRAFTTraining Data=C+T+S+K+H2023.03 | 0.57 | 1.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FlowFormer++Training Data=C+T+S+K+H2023.03 | 0.57 | 1.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GMATraining Data=(C+)T+S+K+H, Warm-start strategy=true2023.11 | 0.57 | 1.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GMA (joint position+content)Training Data=C + T + S/K (+ H), Condition=Fine-tuned2021.04 | 0.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.3 | — | |
| CRAFTTraining Data=C + T + S/K + H2022.03 | 0.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.34 | — | |
| AGFlowTraining Data=(C+)T+S+K+H, Warm-start strategy=true2023.11 | 0.58 | 1.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RFPMTraining Data=C + T + S/K + H2022.03 | 0.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.41 | — | |
| RAFT (2-view)Training Data=C + T + S + K + H2020.03 | 0.63 | 1.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RAFTTraining Data=C + T + S/K (+ H), Condition=Fine-tuned2021.04 | 0.63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.5 | — | |
| RAFTTraining Data=C + T + S/K + H2022.03 | 0.63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.5 | — | |
| RAFTTraining Data=C+T+S+K+H2022.03 | 0.63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RAFTTraining Data=C+T+S+K+H2023.03 | 0.63 | 1.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RAFTTraining Data=(C+)T+S+K+H, Warm-start strategy=true2023.11 | 0.63 | 1.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RAFTSupervision=Supervised2026.04 | 0.63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RAFT (2-view)Training Data=C + T + S/K2020.03 | 0.64 | 1.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GMFlowNetTraining Data=C+T+S+K+H2023.03 | 0.64 | 1.51 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GMFlowNetTraining Data=(C+)T+S+K+H, Warm-start strategy=false2023.11 | 0.64 | 1.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Separable FlowTraining Data=C + T + S/K + H2022.03 | 0.69 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1.6 | — | |
| S-FlowTraining Data=C+T+S+K+H2022.03 | 0.69 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| S-FlowTraining Data=C+T+S+K+H2023.03 | 0.69 | 1.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Separable FlowTraining Data=(C+)T+S+K+H, Warm-start strategy=false2023.11 | 0.69 | 1.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FM-RAFTTraining Data=C+T+S+K+H2022.03 | 0.75 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CoWTrackerCategory=Dense Point Tracker, Zero-shot=true2026.02 | 1.04 | 4.87 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WAFTCategory=Specialized Optical Flow model, Variant=twins-a22026.02 | 1.15 | 5.29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VCN-ftSupervision Type=Supervised, Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Labeled evaluation data2020.06 | 1.16 | — | 4.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VCNTraining Data=C + T + S + K + H2020.03 | 1.16 | 4.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VCNTraining Data=C + T + S/K (+ H), Condition=Fine-tuned2021.04 | 1.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 4.1 | — | |
| VCNTraining Data=C+T+S+K+H2022.03 | 1.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VCNTraining Data=C+T+S+K+H2023.03 | 1.16 | 4.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SelFlow-ftSupervision Type=Supervised, Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Labeled evaluation data2020.06 | 1.18 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SelFlow-ft+Supervision=Supervised, Multi-frame=true, Geometrical constraints=false2020.03 | 1.18 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HD3F-ftFine-tuning=true2018.12 | 1.31 | 4.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HD3Training Data=C + T + S/K2020.03 | 1.31 | 4.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WAFTCategory=Specialized Optical Flow model, Variant=Dv3-a22026.02 | 1.35 | 6.41 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net-ftfine-tuned=true2018.09 | 1.45 | 7.59 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net+2019.04 | 1.45 | 7.59 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNet2Training Data=C + T + S + K + H2020.03 | 1.47 | 4.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNet2Training Data=C+T+S+K+H2022.03 | 1.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNet2Training Data=C+T+S+K+H2023.03 | 1.47 | 4.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNet2Training Data=(C+)T+S+K+H, Warm-start strategy=false2023.11 | 1.47 | 4.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net+Supervision=Supervised2026.04 | 1.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net+Training Data=C + T + S + K + H2020.03 | 1.5 | 5.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net+Training Data=C + T + S/K (+ H), Condition=Fine-tuned2021.04 | 1.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 5.3 | — | |
| PWC-Net+Training Data=C+T+S+K+H2022.03 | 1.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RAFT-ftLearning Setting=Supervised, Training Data=S/K, Fine-tuned=true2022.11 | 1.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net+Training Data=C+T+S+K+H2023.03 | 1.5 | 5.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RAFTCategory=Specialized Optical Flow model2026.02 | 1.53 | 7.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FDFlowNetFine-tuning=true2020.06 | 1.56 | 6.36 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SEA-RAFTCategory=Specialized Optical Flow model, Variant=M2026.02 | 1.6 | 8.26 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNet-ftCategory=Lightweight CNN, fine-tuned=true2018.05 | 1.62 | 5.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNet-arXivfine-tuned=true2018.09 | 1.62 | 5.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNetfine-tuned=true2018.02 | 1.62 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNet2019.04 | 1.62 | 5.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNetFine-tuning=true2020.06 | 1.62 | 5.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNet-ftFine-tuning status=Yes, Params (M)=5.37, FLOPS (G)=163.5, Time (s) 1080Ti=0.055, Time (s) TX2=0.9072021.03 | 1.62 | 5.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IRR-PWC2019.04 | 1.63 | 5.32 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IRR-PWCTraining Data=C + T + S/K2020.03 | 1.63 | 5.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IRR-PWC+ftLearning paradigm=Supervised, Fine-tuning=true, Unsupervised training with test images=true2020.12 | 1.63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IRR-PWCTraining Data=(C+)T+S+K+H, Warm-start strategy=false2023.11 | 1.63 | 5.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| U2Flow (+FF)Supervision=Unsupervised, Multi-frame data usage=true, Bidirectional flow fusion (+FF)=true2026.04 | 1.74 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| U2FlowSupervision=Unsupervised2026.04 | 1.83 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| M2FlowSupervision=Unsupervised, Multi-frame data usage=true2026.04 | 1.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Devonfine-tuned=true2018.02 | 2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SMURFheavier backbone=true, multi-frame=true, trained on validation set=true2020.11 | 2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SMURFSupervision=Unsupervised, Multi-frame data usage=true2026.04 | 2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SMURFTrain on=KITTI2021.05 | 2.01 | — | 6.72 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UnSAMFlow (+aug +hg +mf)Mode=Unsupervised, Parameters=2.6M, SAM used in training=true, SAM used in inference=true2024.05 | 2.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UnSAMFlowSupervision=Unsupervised, Semantic inputs=true2026.04 | 2.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UnSAMFlow (+aug +hg)Mode=Unsupervised, Parameters=2.5M, SAM used in training=true2024.05 | 2.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FastFlowNet-ftFine-tuning status=Yes, Params (M)=1.37, FLOPS (G)=12.2, Time (s) 1080Ti=0.011, Time (s) TX2=0.1762021.03 | 2.13 | 8.21 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FastFlowNet-ftLearning Setting=Supervised, Training Data=S/K, Fine-tuned=true2022.11 | 2.13 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNet-CVPRfine-tuned=true2018.09 | 2.16 | 8.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net-ft-CVPRfine-tuned=true2018.09 | 2.16 | 9.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Netfine-tuned=true2018.02 | 2.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net-ftFine-tuning=true2018.12 | 2.16 | 9.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net2019.04 | 2.16 | 9.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-NetFine-tuning=true2020.06 | 2.16 | 9.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net-ftSupervision Type=Supervised, Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Labeled evaluation data2020.06 | 2.16 | — | 9.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNet-ftSupervision=Supervised, Multi-frame=false, Geometrical constraints=false2020.03 | 2.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net-ftSupervision=Supervised, Multi-frame=false, Geometrical constraints=false2020.03 | 2.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net-ftFine-tuning status=Yes, Params (M)=8.75, FLOPS (G)=90.8, Time (s) 1080Ti=0.034, Time (s) TX2=0.4852021.03 | 2.16 | 9.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LiteFlowNet+ftLearning paradigm=Supervised, Fine-tuning=true, Unsupervised training with test images=true2020.12 | 2.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PWC-Net+ftLearning paradigm=Supervised, Fine-tuning=true, Unsupervised training with test images=true2020.12 | 2.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |