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Density Estimation on CIFAR-10

2.49bpdVDM
2.41042.94773.4854.0223Jul 18, 2019Dec 28, 2019Jun 9, 2020Nov 19, 2020May 2, 2021Oct 12, 2021Mar 25, 2022

Evaluation results

MethodLinks
VDMdata augmentation=true2022.032.49
CR-NVAEdata augmentation=true2022.032.51
Aug. Sparse Transformerdata augmentation=true2022.032.53
Combiner-AxialArchitecture=128-layer, Data Augmentation=None2021.072.77
Sparse TransformerData Augmentation=None2021.072.8
Sparse Transformerdata augmentation=false2022.032.8
delta-VAEdata augmentation=false2022.032.83
PixelSNAILArchitecture Category=Models with autoregressive components, Dequantization=uniform noise injection2020.022.85
PixelSNAILData Augmentation=None2021.072.85
VDVAEdata augmentation=false2022.032.87
Efficient-VDVAEdata augmentation=false2022.032.87
Locally Masked PixelCNNdata augmentation=false2022.032.89
Image Transformerdata augmentation=false2022.032.89
Image TransformerData Augmentation=None2021.072.9
PixelVAE++data augmentation=false2022.032.9
NVAEdata augmentation=false2022.032.91
PixelCNN++Data Augmentation=None2021.072.92
DenseFlowdata augmentation=false2022.032.98
PixelCNNData Augmentation=None2021.073.03
UDMdata augmentation=false2022.033.04
ANFArchitecture Category=Flow-based models, Dequantization=variational dequantization2020.023.05
ANFdata augmentation=false2022.033.05
Flow++data augmentation=false2022.033.08
Flow++Architecture Category=Flow-based models, Dequantization=variational dequantization2020.023.09
VAE + IAFArchitecture Category=Models with autoregressive components, Dequantization=uniform noise injection2020.023.11
PixelCNNArchitecture Category=Models with autoregressive components, Dequantization=uniform noise injection2020.023.14
MaCowArchitecture Category=Flow-based models, Dequantization=variational dequantization2020.023.16
MaCowdata augmentation=false2022.033.16
ResidualArchitecture Category=Flow-based models, Dequantization=uniform noise injection2020.023.28
MintNet2019.073.32
Glow2019.073.35
GlowArchitecture Category=Flow-based models, Dequantization=uniform noise injection2020.023.35
GLOWdata augmentation=false2022.033.35
FFJORD2019.073.4
FFJORDArchitecture Category=Flow-based models, Dequantization=uniform noise injection2020.023.4
i-ResNet2019.073.45
Real NVP2019.073.49
Real NVPArchitecture Category=Flow-based models, Dequantization=uniform noise injection2020.023.49
MAF2019.074.31
NICEZCA preprocessing=true2019.074.48