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Optical Flow on Sintel Clean (train)

0.46EPEVideoFlow
0.28521.46512.6453.8249Mar 26, 2020Apr 2, 2021Apr 9, 2022Apr 17, 2023Apr 23, 2024Apr 30, 2025May 8, 2026

Evaluation results

MethodLinks
VideoFlowSupervision=Supervised, Multi-frame data usage=true2026.040.46
FlowFormerSupervision=Supervised2026.040.48
SEA-RAFT (S)Extra Data=TartanAir, #refine=42026.050.546
FlowSeek (T)Extra Data=TartanAir, #refine=42026.050.71
RAFT (2-view)Training Data=C + T + S + K + H2020.030.76
GMFlowExtra Data=None, #refine=12026.050.762
RAFTExtra Data=None, #refine=322026.050.768
RAFT (2-view)Training Data=C + T + S/K2020.030.77
RAFT (warm-start)Training Data=C + T + S + K + H2020.030.77
RAFTSupervision=Supervised2026.040.77
OursExtra Data=None, #refine=02026.050.847
DistractFlowBackbone=FlowFormer2023.030.9
GMFlowExtra Data=None, #refine=02026.050.947
FlowFormerTraining=Supervised2023.030.95
FlowFormerZero-shot=true, Training Dataset=Chairs -> Things2023.061.01
OCAILabeled data=C + T, Unlabeled data=S/K2024.031.2
DistractFlowBackbone=GMA2023.031.22
DDVMZero-shot=true, Training Dataset=AF+FT+KU+TA2023.061.24
DistractFlowBackbone=RAFT2023.031.25
DistractFlowLabeled data=C + T, Unlabeled data=S/K2024.031.25
RAFTZero-shot=true, Training Dataset=AF+FT+KU+TA2023.061.27
LiteFlowNet2Training Data=C + T + S + K + H2020.031.3
FlowSupervisorBackbone=RAFT2023.031.3
FlowSupervisorLabeled data=C + T, Unlabeled data=T (subsampled)2024.031.3
RAFT-OCTCLabeled data=C + T, Unlabeled data=T (subsampled)2024.031.31
Fixed TeacherLabeled data=C + T, Unlabeled data=T (subsampled)2024.031.32
RealFlowLabeled data=C + T, Unlabeled data=S/K2024.031.34
GMATraining=Supervised2023.031.35
U2Flow (+FF)Supervision=Unsupervised, Multi-frame data usage=true, Bidirectional flow fusion (+FF)=true2026.041.36
RAFTTraining=Supervised2023.031.42
U2FlowSupervision=Unsupervised2026.041.42
RAFT (2-view)Training Data=C + T2020.031.43
RAFT-SupervisedLabeled data=C + T2024.031.43
FlowNet2-ftSupervision Type=Supervised, Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Labeled evaluation data2020.061.45
FlowNet2Training Data=C + T + S/K2020.031.45
RAFTLearning paradigm=Supervised2020.121.63
LiteFlowNet+ftLearning paradigm=Supervised, Fine-tuning=true, Unsupervised training with test images=true2020.121.64
VCN-ftSupervision Type=Supervised, Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Labeled evaluation data2020.061.66
VCNTraining Data=C + T + S + K + H2020.031.66
SelFlow-ftSupervision Type=Supervised, Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Labeled evaluation data2020.061.68
RAFTZero-shot=true, Training Dataset=Chairs -> Things2023.061.68
PWC-Net-ftSupervision Type=Supervised, Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Labeled evaluation data2020.061.7
PWC-Net+ftLearning paradigm=Supervised, Fine-tuning=true, Unsupervised training with test images=true2020.121.7
PWC-Net+Training Data=C + T + S + K + H2020.031.71
PWC-Net+Supervision=Supervised2026.041.71
SMURFSupervision=Unsupervised, Multi-frame data usage=true2026.041.71
RAFTZero-shot=true, Training Dataset=AutoFlow2023.061.74
Perceiver IOZero-shot=true, Training Dataset=AutoFlow2023.061.81
HD3Training Data=C + T + S/K2020.031.87
IRR-PWCTraining Data=C + T + S/K2020.031.92
IRR-PWC+ftLearning paradigm=Supervised, Fine-tuning=true, Unsupervised training with test images=true2020.121.92
RAFT-ALabeled data=AutoFlow [39]2024.031.95
SMURFTrain on=Sintel2021.051.99
M2FlowSupervision=Unsupervised, Multi-frame data usage=true2026.042.01
FlowNet2Supervision Type=Supervised2020.062.02
FlowNet2Training Data=C + T2020.032.02
SMURFTrain on=Chairs2021.052.19
VCNSupervision Type=Supervised2020.062.21
VCNTraining Data=C + T2020.032.21
RAFT (small)Training Data=C + T2020.032.21
UnSAMFlowSupervision=Unsupervised, Semantic inputs=true2026.042.21
LiteFlowNet2Training Data=C + T2020.032.24
MaskFlowNetTraining Data=C + T2020.032.25
UPFlowLearning paradigm=Unsupervised, Unsupervised training with test images=true2020.122.33
UPFlowSupervision=Unsupervised2026.042.33
LiteFlowNetTraining Data=C + T2020.032.48
UFlow-trainSupervision Type=Unsupervised, Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Unlabeled evaluation data2020.062.5
UFlowLearning paradigm=Unsupervised, Unsupervised training with test images=true2020.122.5
UFlowSupervision=Unsupervised2026.042.5
LiteFlowNetLearning paradigm=Supervised2020.122.52
PWC-NetSupervision Type=Supervised2020.062.55
PWC-NetTraining Data=C + T2020.032.55
PWC-NetLearning paradigm=Supervised2020.122.55
NLFlowLearning paradigm=Unsupervised, Unsupervised training with test images=true2020.122.58
ARFlowLearning paradigm=Unsupervised, Unsupervised training with test images=true2020.122.79
ARFlowSupervision=Unsupervised2026.042.79
SimFlowLearning paradigm=Unsupervised, Unsupervised training with test images=true2020.122.86
SelFlowSupervision Type=Unsupervised, Additional Modalities (MDM, SDM, MF)=Multi-frame flow (MF), Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Related evaluation data2020.062.88
SelFlowLearning paradigm=Unsupervised, Unsupervised training with test images=true2020.122.88
SelFlowSupervision=Unsupervised, Multi-frame data usage=true2026.042.88
STFlowLearning paradigm=Unsupervised, Unsupervised training with test images=true2020.122.91
DDFlowSupervision Type=Unsupervised, Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Unlabeled evaluation data2020.062.92
DDFlowTrain on=Sintel2021.052.92
DDFlowLearning paradigm=Unsupervised, Unsupervised training with test images=true2020.122.92
UFlow-testSupervision Type=Unsupervised2020.063.01
UFlowTrain on=Sintel2021.053.01
SpyNet+ftLearning paradigm=Supervised, Fine-tuning=true, Unsupervised training with test images=true2020.123.17
SMURFTrain on=KITTI2021.053.38
EpiFlowLearning paradigm=Unsupervised, Unsupervised training with test images=true2020.123.54
FlowNetS+ftLearning paradigm=Supervised, Fine-tuning=true, Unsupervised training with test images=true2020.123.66
HD3Training Data=C + T2020.033.84
MFOccFlowSupervision Type=Unsupervised, Additional Modalities (MDM, SDM, MF)=Multi-frame flow (MF), Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Unlabeled evaluation data2020.063.89
Back2FutureLearning paradigm=Unsupervised, Unsupervised training with test images=true2020.123.89
EPIFlowSupervision Type=Unsupervised2020.063.94
OAFlowSupervision Type=Unsupervised, Training Domain Condition (Labeled/Unlabeled/Related evaluation data)=Unlabeled evaluation data2020.064.03
OAFlowLearning paradigm=Unsupervised, Unsupervised training with test images=true2020.124.03
SpyNetLearning paradigm=Supervised2020.124.12
UFlowTrain on=Chairs2021.054.36
FlowNetSLearning paradigm=Supervised2020.124.5
DDFlowTrain on=Chairs2021.054.83