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Optical Flow on KITTI 2015 (test)

3.65Fl Error (All)VideoFlow
3.15726.48369.8113.1364Nov 5, 2018Jan 31, 2020Apr 27, 2021Jul 24, 2022Oct 19, 2023Jan 13, 2025Apr 11, 2026

Evaluation results

MethodLinks
VideoFlowSupervision=Supervised, Multi-frame data usage=true2026.043.65———————————————————
FlowDiffuserSupervision=Supervised2026.044.17—————————————2.82—————
RAFT-3DRuntime=2.0 sec2020.124.29—3.398.79————————————————
GMFlow+2022.114.49—————————————2.4—————
SAMFlowMode=Supervised, SAM used in training=true, SAM used in inference=true2024.054.49———————————————————
SeparableFlow2022.114.53—————————————2.78—————
KPA-Flow2022.114.6—————————————2.82—————
FlowFormer2022.114.68—————————————2.69—————
FlowFormerMode=Supervised, Parameters=18.2M2024.054.68—4.376.18——————————2.69—————
FlowFormerSupervision=Supervised2026.044.68—————————————2.69—————
DRISFRuntime=0.75 sec (2 GPUs)2020.124.73—3.5910.4————————————————
CRAFT2022.114.79—————————————3.02—————
GMFlowNet2022.114.79—————————————2.75—————
AGFlow2022.114.89—————————————2.97—————
DEQ-Flow2022.114.91—————————————2.96—————
GMA (position-only)Training Data=C + T + S/K (+ H), Condition=Fine-tuned2021.044.93———————————————————
GMA (joint position+content)Training Data=C + T + S/K (+ H), Condition=Fine-tuned2021.045.08———————————————————
RAFTTraining Data=C + T + S/K (+ H), Condition=Fine-tuned2021.045.1———————————————————
RAFT2022.115.1—————————————3.07—————
RAFTMode=Supervised, Parameters=5.3M2024.055.1—4.746.87——————————3.07—————
RAFTSupervision=Supervised2026.045.1—————————————3.07—————
GMATraining Data=C + T + S/K (+ H), Condition=Fine-tuned2021.045.15———————————————————
ACOSFRuntime=5 mins2020.125.79—4.5612————————————————
U2Flow (+FF)Supervision=Unsupervised, Multi-frame data usage=true, Bidirectional flow fusion (+FF)=true2026.046—————————————4.52—————
MaskFlowNetTraining Data=C + T + S/K (+ H), Condition=Fine-tuned2021.046.1———————————————————
MaskFlownetTime (s)=0.062020.036.11———————————————————
U2FlowSupervision=Unsupervised2026.046.13—————————————4.56—————
ISFRuntime=10 mins2020.126.22—5.410.29————————————————
VCNTime (s)=0.182020.036.3———————————————————
OpticalExpRuntime=2.0 sec2020.126.3—5.838.66————————————————
VCNTraining Data=C + T + S/K (+ H), Condition=Fine-tuned2021.046.3———————————————————
VCN2022.116.3—————————————3.89—————
HD³2022.116.55—————————————3.93—————
PRSM*Runtime=5 mins2020.126.68—5.3313.4————————————————
MaskFlownet-STime (s)=0.032020.036.81———————————————————
SMURFSupervision=Unsupervised, Multi-frame data usage=true2026.046.83—————————————5.26—————
SSFRuntime=5 mins2020.127.14—5.6314.71————————————————
MFF+ftLearning=Supervised, Split=test2019.047.17———————————————————
M2FlowSupervision=Unsupervised, Multi-frame data usage=true2026.047.37—————————————5.73—————
SenseRuntime=0.31s2020.127.64—7.39.33————————————————
IRR-PWCMode=Supervised, Parameters=6.4M2024.057.65—7.687.52——————————4.86—————
DTF SenseRuntime=0.76 sec2020.127.67—7.319.48————————————————
PWC-Net+Training Data=C + T + S/K (+ H), Condition=Fine-tuned2021.047.72———————————————————
PWC-Net+2022.117.72—————————————4.91—————
PWC-Net+Mode=Supervised, Parameters=8.8M2024.057.72—7.697.88——————————4.91—————
PWC-Net+Supervision=Supervised2026.047.72—————————————4.91—————
LiteFlowNet2Time (s)=0.042020.037.74———————————————————
OSFRuntime=50 mins2020.127.83—5.6218.92————————————————
UnSAMFlow (+aug +hg +mf)Semantics=SAM2024.057.83———————————————————
UnSAMFlow (+aug +hg +mf)Mode=Unsupervised, Parameters=2.6M, SAM used in training=true, SAM used in inference=true2024.057.83—6.414.98——————————5.67—————
UnSAMFlowSupervision=Unsupervised, Semantic inputs=true2026.047.83—————————————5.67—————
PWC-Net+ft-axXivLearning=Supervised, Split=test2019.047.9———————————————————
PWC-Net+Time (s)=0.032020.037.9———————————————————
UnSAMFlow (+aug +hg)Mode=Unsupervised, Parameters=2.5M, SAM used in training=true2024.058.18—6.6715.72——————————6.04—————
SemARFlowSemantics=Sem. Seg.2024.058.38———————————————————
SemARFlowSupervision=Unsupervised, Semantic inputs=true2026.048.38—————————————5.43—————
SelFlow+ftLearning=Supervised, Split=test2019.048.42———————————————————
SelFlowTime (s)=0.092020.038.42———————————————————
UnSAMFlow (+aug)Mode=Unsupervised, Parameters=2.5M, SAM used in training=true2024.059.05—7.9614.55——————————6.46—————
LiteFlowNet+ft-arXivLearning=Supervised, Split=test2019.049.38———————————————————
LiteFlowNetTime (s)=0.092020.039.38———————————————————
UPFlowMode=Unsupervised, Parameters=3.5M2024.059.38———————————————————
PWC-Net+ft-CVPRLearning=Supervised, Split=test2019.049.6———————————————————
PWC-NetTime (s)=0.032020.039.6———————————————————
UnSAMFlow (baseline)Mode=Unsupervised, Parameters=2.5M2024.059.6—8.7413.89——————————6.77—————
MatchAttentionEvaluation Protocol=Zero-shot, Training Dataset=Scene Flow2025.109.62—————————3.42—————————
ContinualFlowCompetition=Robust Vision Challenge2018.1110.03—8.5417.48———5.914.997.55——————————
ContinualFlow+ftLearning=Supervised, Split=test2019.0410.03———————————————————
LiteFlowNet+ft-CVPRLearning=Supervised, Split=test2019.0410.24———————————————————
FlowNet22022.1110.41—————————————6.94—————
LFNetCompetition=Robust Vision Challenge, Status=anonymous2018.1111.01—11.1810.2———6.146.876.27——————————
SDFSemantics=Ins. Seg.2024.0511.01———————————————————
UnFlow-CSS+ftLearning=Supervised, Split=test2019.0411.11———————————————————
UFlowMode=Unsupervised2024.0511.13—9.7817.87——————————8.41—————
UFlowSupervision=Unsupervised2026.0411.13—————————————8.41—————
FlowNet2+ftLearning=Supervised, Split=test2019.0411.48———————————————————
FlowNet2Time (s)=0.122020.0311.48———————————————————
FlowNet2Training Data=C + T + S/K (+ H), Condition=Fine-tuned2021.0411.48———————————————————
PWC-NetCompetition=Robust Vision Challenge2018.1111.63—11.2213.69———7.1210.297.69——————————
ARFlowMode=Unsupervised, Parameters=2.2M2024.0511.8—10.319.32——————————8.91—————
MR-FlowTime (s)=4802020.0312.19———————————————————
MRFlowSemantics=Sem. Seg.2024.0512.19———————————————————
SEA-RAFT(L)Evaluation Protocol=Zero-shot, Training Dataset=Scene Flow2025.1012.9—————————3.62—————————
RPKNetEvaluation Protocol=Zero-shot, Training Dataset=Scene Flow2025.1013———————————————————
SimFlowMode=Unsupervised2024.0513.38—12.617.27——————————8.21—————
EMD-LEvaluation Protocol=Zero-shot, Training Dataset=Scene Flow2025.1013.5—————————4.12—————————
DIPEvaluation Protocol=Zero-shot, Training Dataset=Scene Flow2025.1013.7—————————4.29—————————
SelFlowLearning=Unsupervised, Split=test2019.0414.19———————————————————
SelFlowMode=Unsupervised, Parameters=4.8M2024.0514.19—12.6821.74——————————9.65—————
SelFlowSupervision=Unsupervised, Multi-frame data usage=true2026.0414.19—————————————9.65—————
SEA-RAFT(M)Evaluation Protocol=Zero-shot, Training Dataset=Scene Flow2025.1014.2—————————4.29—————————
DDFlow+ftLearning=Unsupervised, Split=test2019.0414.29———————————————————
DDFlowMode=Unsupervised, Parameters=4.3M2024.0514.29—13.0820.4——————————9.55—————
FlowFormerEvaluation Protocol=Zero-shot, Training Dataset=Scene Flow2025.1014.7—————————4.09—————————
DCFlow+ftLearning=Supervised, Split=test2019.0414.83———————————————————
ProFlow+ftLearning=Supervised, Split=test2019.0415.04———————————————————
GMFlowNetEvaluation Protocol=Zero-shot, Training Dataset=Scene Flow2025.1015.4—————————4.24—————————
ProFlowCompetition=Robust Vision Challenge2018.1115.42—14.1521.82———8.4417.910.15——————————
SKFlowEvaluation Protocol=Zero-shot, Training Dataset=Scene Flow2025.1015.5—————————4.27—————————
FF++Competition=Robust Vision Challenge2018.1115.97—15.3219.27———7.8215.339.18——————————