Image Generation on CelebA 256x256

Metric: bpd (lower is better)

LeaderboardDataset

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#	Model↕	bpd▲	Extra Data	Paper	Date↕	Code
1	Efficient-VDVAE	0.51	No	Efficient-VDVAE: Less is more	2022-03-25	Code
2	SPN Menick and Kalchbrenner (2019)	0.61	No	Generating High Fidelity Images with Subscale Pi...	2018-12-04	-
3	MaCow (Var)	0.67	No	MaCow: Masked Convolutional Generative Flow	2019-02-12	Code
4	LSGM	0.7	No	Score-based Generative Modeling in Latent Space	2021-06-10	Code
5	NVAE w/ flow	0.7	No	NVAE: A Deep Hierarchical Variational Autoencoder	2020-07-08	Code
6	ANF Huang et al. (2020)	0.72	No	Augmented Normalizing Flows: Bridging the Gap Be...	2020-02-17	Code
7	Locally Masked PixelCNN	0.74	No	Locally Masked Convolution for Autoregressive Mo...	2020-06-22	Code
8	MaCow (Unf)	0.95	No	MaCow: Masked Convolutional Generative Flow	2019-02-12	Code
9	Residual Flow	0.992	No	Residual Flows for Invertible Generative Modeling	2019-06-06	Code
10	Glow (Kingma and Dhariwal, 2018)	1.03	No	Glow: Generative Flow with Invertible 1x1 Convol...	2018-07-09	Code

#1Efficient-VDVAESOTA
0.51
bpd· 2022-03-25
Efficient-VDVAE: Less is more Code
#2SPN Menick and Kalchbrenner (2019)SOTA
0.61
bpd· 2018-12-04
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling
#3MaCow (Var)
0.67
bpd· 2019-02-12
MaCow: Masked Convolutional Generative Flow Code
#4LSGM
0.7
bpd· 2021-06-10
Score-based Generative Modeling in Latent Space Code
#5NVAE w/ flow
0.7
bpd· 2020-07-08
NVAE: A Deep Hierarchical Variational Autoencoder Code
#6ANF Huang et al. (2020)
0.72
bpd· 2020-02-17
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Code
#7Locally Masked PixelCNN
0.74
bpd· 2020-06-22
Locally Masked Convolution for Autoregressive Models Code
#8MaCow (Unf)
0.95
bpd· 2019-02-12
MaCow: Masked Convolutional Generative Flow Code
#9Residual Flow
0.992
bpd· 2019-06-06
Residual Flows for Invertible Generative Modeling Code
#10Glow (Kingma and Dhariwal, 2018)SOTA
1.03
bpd· 2018-07-09
Glow: Generative Flow with Invertible 1x1 Convolutions Code