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Benchmarks
Generative Modeling on ImageNet 64x64 (downsampled)
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1.41
Bits Per Dimension
SPN
1.3072
2.0011
2.695
3.3889
Jul 9, 2018
Apr 11, 2019
Jan 13, 2020
Oct 15, 2020
Jul 19, 2021
Apr 21, 2022
Jan 23, 2023
Bits Per Dimension
Fidelity Metric
Stability Metric
Updated 4d ago
Evaluation Results
Method
Method
Links
Bits Per Dimension
Fidelity Metric
Stability Metric
SPN
quantization=5-bit
2018.12
1.41
-
-
Glow
quantization=5-bit
2018.12
1.76
-
-
MaCow
2023.01
3.69
2.91
8.05
MALI
Flow Type=Continuous F...
2021.02
3.71
-
-
Residual Flow
Flow Type=Discrete Flow
2021.02
3.76
-
-
Glow
K=32, L=3, resolution=...
2018.07
3.81
-
-
Glow
Flow Type=Discrete Flow
2021.02
3.81
-
-
Emerging
2023.01
3.81
1.71
137.04
RNODE
Flow Type=Continuous F...
2021.02
3.83
-
-
CInC Flow
2023.01
3.85
1.57
55.71
FInC Flow
2023.01
3.88
1.43
2.11
RealNVP
K=32, L=3, resolution=...
2018.07
3.98
-
-
RealNVP
Flow Type=Discrete Flow
2021.02
3.98
-
-
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