The pretrained models can be downloaded by following the instructions in the official repositories RAFT and GMFlow
The links for the finetuned models are given below. Each link contains the C+B, C+T+B and C+T+S+B model checkpoints respectively.
Model
Method
Chairs (Val)
Things (Val)
Sintel (Train) - Clean
Sintel (Train) - Final
KITTI (Train) - F1-EPE
KITTI (Train) - F1-all
Boiling (Test)
C
RAFT
0.82
9.03
2.19
4.49
9.83
37.57
4.20
C
GMFlow
0.92
10.23
3.22
4.43
17.82
56.14
4.73
C+B
RAFT
0.91
11.22
2.55
5.16
13.7
44.44
2.33
C+B
GMFlow
1.31
11.99
3.78
5.12
21.91
63.04
2.36
C+T
RAFT
1.15
4.39
1.40
2.71
5.02
17.46
4.72
C+T
GMFlow
1.26
3.48
1.50
2.96
11.60
35.62
7.98
C+T+B
RAFT
1.28
7.69
1.69
2.95
9.96
23.61
2.38
C+T+B
GMFlow
1.39
3.88
1.61
2.91
14.49
43.09
2.51
C+T+S
RAFT
1.21
4.69
0.77
1.22
1.54
5.64
8.39
C+T+S
GMFlow
1.53
4.09
0.95
1.28
3.04
13.61
14.65
C+T+S+B
RAFT
1.37
6.59
0.89
1.60
1.83
6.44
2.34
C+T+S+B
GMFlow
1.65
4.49
1.07
1.45
4.06
18.99
2.56
Model
Method
Chairs(Val)
Things(Val)
Sintel(Train) - Clean
Sintel(Train) - Final
KITTI(Train) - F1-EPE
KITTI(Train) - F1-all
Boiling(Test)
C
RAFT
0.82
9.03
2.19
4.49
9.83
37.57
2.41
C
GMFlow
0.92
10.23
3.22
4.43
17.82
56.14
1.92
C+B
RAFT
0.89
11.64
2.58
5.17
14.01
47.53
0.63
C+B
GMFlow
1.34
12.23
3.93
5.27
22.83
64.41
0.63
C+T
RAFT
1.15
4.39
1.40
2.71
5.02
17.46
1.91
C+T
GMFlow
1.26
3.48
1.50
2.96
11.60
35.62
4.76
C+T+B
RAFT
1.24
6.45
1.54
2.82
7.35
20.27
0.70
C+T+B
GMFlow
1.46
4.04
1.66
3.11
14.50
44.35
0.67
C+T+S
RAFT
1.21
4.69
0.77
1.22
1.54
5.64
6.07
C+T+S
GMFlow
1.53
4.09
0.95
1.28
3.04
13.61
9.21
C+T+S+B
RAFT
1.35
6.49
0.87
1.48
1.79
6.31
0.64
C+T+S+B
GMFlow
1.66
4.43
1.04
1.42
3.99
18.83
0.65
Model
Method
Chairs(Val)
Things(Val)
Sintel(Train) - Clean
Sintel(Train) - Final
KITTI(Train) - F1-EPE
KITTI(Train) - F1-all
Boiling(Test)
C
RAFT
0.82
9.03
2.19
4.49
9.83
37.57
3.30
C
GMFlow
0.92
10.23
3.22
4.43
17.82
56.14
2.40
C+B
RAFT
0.95
10.98
2.78
5.76
15.52
49.88
0.90
C+B
GMFlow
1.42
12.57
4.06
5.41
23.61
66.38
0.90
C+T
RAFT
1.15
4.39
1.40
2.71
5.02
17.46
2.75
C+T
GMFlow
1.26
3.48
1.50
2.96
11.60
35.62
3.60
C+T+B
RAFT
1.31
6.65
1.64
2.93
8.39
21.36
0.96
C+T+B
GMFlow
1.41
3.95
1.64
2.97
44.07
14.41
0.97
C+T+S
RAFT
1.21
4.69
0.77
1.22
1.54
5.64
4.74
C+T+S
GMFlow
1.53
4.09
0.95
1.28
3.04
13.61
5.49
C+T+S+B
RAFT
1.35
6.44
0.90
1.49
1.81
6.27
0.92
C+T+S+B
GMFlow
1.63
4.43
1.03
1.40
4.29
20.93
0.92
Flow Boiling Inlet Velocity
Model
Method
Chairs(Val)
Things(Val)
Sintel(Train) - Clean
Sintel(Train) - Final
KITTI(Train) - F1-EPE
KITTI(Train) - F1-all
Boiling(Test)
C
RAFT
0.82
9.03
2.19
4.49
9.83
37.57
16.01
C
GMFlow
0.92
10.23
3.22
4.43
17.82
56.14
21.44
C+B
RAFT
1.21
14.99
3.62
6.78
22.07
60.64
10.13
C+B
GMFlow
1.50
13.96
4.52
5.89
23.45
65.96
7.01
C+T
RAFT
1.15
4.39
1.40
2.71
5.02
17.46
25.14
C+T
GMFlow
1.26
3.48
1.50
2.96
11.60
35.62
19.39
C+T+B
RAFT
1.62
9.09
2.19
3.77
13.81
32.13
9.19
C+T+B
GMFlow
1.45
4.15
1.78
3.05
15.74
48.34
7.24
C+T+S
RAFT
1.21
4.69
0.77
1.22
1.54
5.64
21.23
C+T+S
GMFlow
1.53
4.09
0.95
1.28
3.04
13.61
47.88
C+T+S+B
RAFT
2.18
9.32
1.54
2.90
2.57
10.93
9.68
C+T+S+B
GMFlow
1.72
4.80
1.18
1.65
4.69
24.56
6.88
Model
Method
Chairs(Val)
Things(Val)
Sintel(Train) - Clean
Sintel(Train) - Final
KITTI(Train) - F1-EPE
KITTI(Train) - F1-all
Boiling(Test)
C
RAFT
0.82
9.03
2.19
4.49
9.83
37.57
20.42
C
GMFlow
0.92
10.23
3.22
4.43
17.82
56.14
14.05
C+B
RAFT
1.14
12.65
3.30
6.13
17.94
53.76
4.45
C+B
GMFlow
1.30
13.02
4.05
5.41
23.17
65.33
4.24
C+T
RAFT
1.15
4.39
1.40
2.71
5.02
17.46
21.04
C+T
GMFlow
1.26
3.48
1.50
2.96
11.60
35.62
13.37
C+T+B
RAFT
1.41
6.85
1.97
3.89
10.96
27.82
4.24
C+T+B
GMFlow
1.37
3.89
1.71
3.05
14.29
45.03
3.94
C+T+S
RAFT
1.21
4.69
0.77
1.22
1.54
5.64
21.04
C+T+S
GMFlow
1.53
4.09
0.95
1.28
3.04
13.61
22.84
C+T+S+B
RAFT
1.59
7.29
1.13
2.14
2.22
9.34
4.12
C+T+S+B
GMFlow
1.62
4.42
1.04
1.43
3.86
17.76
3.93
The model checkpoints are organized based on the dataset they were trained on. All model weights are included in
the .tar.gz
.
UNet-bench
UNet-mod
FNO
UNO
FFNO
GFNO
Rel. Err.
0.036
0.051
0.052
0.062
0.050
0.071
RMSE
0.035
0.049
0.050
0.059
0.048
0.068
BRMSE
0.073
0.146
0.118
0.145
0.124
0.209
IRMSE
0.113
0.157
0.189
0.220
0.155
0.290
Max Err.
2.1
1.937
2.32
2.659
2.21
2.882
F. Low
0.281
0.348
0.373
0.440
0.472
0.557
F. Mid
0.266
0.386
0.390
0.453
0.375
0.547
F. High
0.040
0.059
0.055
0.068
0.057
0.090
UNet-bench
UNet-mod
FNO
UNO
FFNO
GFNO
Rel. Err.
0.035
0.039
0.052
0.072
0.053
0.066
RMSE
0.035
0.039
0.052
0.071
0.052
0.065
BRMSE
0.082
0.147
0.165
0.214
0.163
0.218
IRMSE
0.052
0.083
0.125
0.116
0.095
0.152
Max Err.
1.701
1.785
2.055
2.23
1.788
1.793
F. Low
0.257
0.241
0.373
0.568
0.416
0.463
F. Mid
0.268
0.273
0.377
0.532
0.399
0.496
F. High
0.023
0.042
0.053
0.069
0.052
0.070
UNet-bench
UNet-mod
FNO
UNO
FFNO
GFNO
Rel. Err.
0.042
0.051
0.062
0.081
0.061
0.124
RMSE
0.040
0.049
0.062
0.077
0.058
0.118
BRMSE
0.070
0.139
0.150
0.184
0.131
0.642
IRMSE
0.108
0.201
0.266
0.335
0.239
0.424
Max Err.
2.92
2.846
3.626
3.667
3.22
4.0
F. Low
0.491
0.466
0.500
0.746
0.578
1.095
F. Mid
0.275
0.326
0.440
0.548
0.423
0.760
F. High
0.033
0.049
0.054
0.077
0.049
0.171
UNet-bench
UNet-mod
FNO
UNO
Rel. Err.
0.055
0.095
0.134
0.157
RMSE
0.051
0.088
0.123
0.144
BRMSE
0.080
0.240
0.267
0.301
IRMSE
0.091
0.214
0.351
0.379
Max Err.
2.560
2.800
3.951
3.990
F. Low
0.263
0.388
0.591
0.602
F. Mid
0.281
0.419
0.551
0.692
F. High
0.149
0.276
0.389
0.449
Flow Boiling Inlet Velocity
UNet-bench
UNet-mod
FNO
UNO
Rel. Err.
0.106
0.122
0.202
0.225
RMSE
0.097
0.111
0.184
0.205
BRMSE
0.271
0.315
0.486
0.471
IRMSE
0.178
0.193
0.252
0.319
Max Err.
2.900
2.862
3.527
3.992
F. Low
0.571
0.584
1.061
0.981
F. Mid
0.511
0.566
1.084
1.334
F. High
0.264
0.315
0.494
0.523
Velocity + Temp: Pool Boiling Subcooled
Metric
UNet-bench
UNet-mod
P-UNet-mod
FNO
UNO
FFNO
Temp.
Rel. Err.
0.106
0.074
0.040
0.066
0.322
0.067
RMSE
0.097
0.072
0.039
0.064
0.051
0.065
BRMSE
0.271
0.211
0.113
0.142
0.050
0.237
IRMSE
0.178
0.191
0.129
0.212
0.077
0.201
Max Err.
2.83
2.340
2.741
2.566
7.492
2.488
F. Low
1.407
0.495
0.244
0.531
4.902
0.498
F. Mid
0.740
0.583
0.280
0.518
1.594
0.507
F. High
0.090
0.076
0.051
0.061
0.442
0.083
$x$ Vel.
Rel. Err.
0.681
0.553
0.429
0.642
1.834
0.547
RMSE
0.021
0.015
0.012
0.018
0.051
0.015
BRMSE
0.023
0.023
0.022
0.023
0.050
0.024
IRMSE
0.051
0.049
0.043
0.049
0.077
0.050
Max Err.
0.294
0.320
0.353
0.32
0.574
0.334
F. Low
0.329
0.225
0.142
0.258
0.677
0.189
F. Mid
0.115
0.105
0.079
0.110
0.328
0.107
F. High
0.012
0.012
0.011
0.012
0.092
0.012
$y$ Vel.
Rel. Err.
0.563
0.400
0.311
0.415
1.170
0.397
RMSE
0.021
0.015
0.012
0.016
0.044
0.015
BRMSE
0.015
0.012
0.010
0.011
0.035
0.013
IRMSE
0.046
0.046
0.038
0.045
0.066
0.047
Max Err.
0.292
0.272
0.280
0.290
0.288
0.289
F. Low
0.387
0.190
0.132
0.180
0.660
0.176
F. Mid
0.128
0.112
0.085
0.111
0.240
0.106
F. High
0.011
0.010
0.009
0.010
0.067
0.010