Image Generation on LSUN Bedroom 256 x 256

Metric: Precision (higher is better)

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#	Model↕	Precision▼	Extra Data	Paper	Date↕	Code
1	ADM (dropout, DINOv2)	0.85	No	Diffusion Models Beat GANs on Image Synthesis	2021-05-11	Code
2	StyleGAN (DINOv2)	0.85	No	-	-	-
3	iDDPM (DINOv2)	0.83	No	-	-	-
4	Consistency (DINOv2)	0.83	No	-	-	-
5	Projected GAN (DINOv2)	0.8	No	Projected GANs Converge Faster	2021-11-01	Code
6	Denoising Diffusion Probabilistic Model (large, DINOv2)	0.79	No	Denoising Diffusion Probabilistic Models	2020-06-19	Code
7	Diffusion ProjectedGAN (DINOv2)	0.79	No	Diffusion-GAN: Training GANs with Diffusion	2022-06-05	Code
8	Unleashing Transformers (DINOv2)	0.78	No	Unleashing Transformers: Parallel Token Predicti...	2021-11-24	Code

#1ADM (dropout, DINOv2)SOTA
0.85
Precision· 2021-05-11
Diffusion Models Beat GANs on Image Synthesis Code
#2StyleGAN (DINOv2)
0.85
Precision
No paper
#3iDDPM (DINOv2)
0.83
Precision
No paper
#4Consistency (DINOv2)
0.83
Precision
No paper
#5Projected GAN (DINOv2)
0.8
Precision· 2021-11-01
Projected GANs Converge Faster Code
#6Denoising Diffusion Probabilistic Model (large, DINOv2)SOTA
0.79
Precision· 2020-06-19
Denoising Diffusion Probabilistic Models Code
#7Diffusion ProjectedGAN (DINOv2)
0.79
Precision· 2022-06-05
Diffusion-GAN: Training GANs with Diffusion Code
#8Unleashing Transformers (DINOv2)
0.78
Precision· 2021-11-24
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes Code