Image Generation On Imagenet 128X128

FID

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title	Repository
SS-GAN (sBN)	43.87	Self-Supervised GANs via Auxiliary Rotation Loss
HiT	30.83	Improved Transformer for High-Resolution GANs
PGMGAN	21.73	Partition-Guided GANs
PR-BigGAN - Precision	20.76	-	-
BigGAN-OBRS	11.65	Optimal Budgeted Rejection Sampling for Generative Models	-
PR-BigGAN - Recall	9.92	-	-
BigGAN	8.7	Large Scale GAN Training for High Fidelity Natural Image Synthesis
DiffAugment-BigGAN	6.8	Differentiable Augmentation for Data-Efficient GAN Training
CR-BigGAN	6.66	Consistency Regularization for Generative Adversarial Networks	-
LeCAM + DA	6.54	Regularizing Generative Adversarial Networks under Limited Data
BigGAN-deep	5.7	Large Scale GAN Training for High Fidelity Natural Image Synthesis
TarFlow	5.03	Normalizing Flows are Capable Generative Models
CDM	3.52	Cascaded Diffusion Models for High Fidelity Image Generation	-
ADM-G	2.97	Diffusion Models Beat GANs on Image Synthesis
BIGRoC-pl (Guided-Diffusion)	2.77	BIGRoC: Boosting Image Generation via a Robust Classifier
RIN	2.75	Scalable Adaptive Computation for Iterative Generation
BIGRoC-gt (Guided-Diffusion)	2.53	BIGRoC: Boosting Image Generation via a Robust Classifier
Poly-INR	2.08	Polynomial Implicit Neural Representations For Large Diverse Datasets
StyleGAN-XL	1.81	StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
VDM++	1.75	-	-

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