Image Generation On Imagenet 128X128

FID

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	FID	Paper Title	Repository
StyleGAN-XL	1.81	StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets	-
BigGAN	8.7	Large Scale GAN Training for High Fidelity Natural Image Synthesis	-
TarFlow	5.03	Normalizing Flows are Capable Generative Models	-
HiT	30.83	Improved Transformer for High-Resolution GANs	-
ADM-G	2.97	Diffusion Models Beat GANs on Image Synthesis	-
PGMGAN	21.73	Partition-Guided GANs	-
LeCAM + DA	6.54	Regularizing Generative Adversarial Networks under Limited Data	-
CDM	3.52	Cascaded Diffusion Models for High Fidelity Image Generation	-
BigGAN-deep	5.7	Large Scale GAN Training for High Fidelity Natural Image Synthesis	-
Poly-INR	2.08	Polynomial Implicit Neural Representations For Large Diverse Datasets	-
BIGRoC-pl (Guided-Diffusion)	2.77	BIGRoC: Boosting Image Generation via a Robust Classifier	-
VDM++	1.75	-	-
SiD2	1.26	Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion	-
SS-GAN (sBN)	43.87	Self-Supervised GANs via Auxiliary Rotation Loss	-
CR-BigGAN	6.66	Consistency Regularization for Generative Adversarial Networks	-
PR-BigGAN - Recall	9.92	-	-
PR-BigGAN - Precision	20.76	-	-
BigGAN-OBRS	11.65	Optimal Budgeted Rejection Sampling for Generative Models	-
RIN	2.75	Scalable Adaptive Computation for Iterative Generation	-
DisCo-Diff	1.73	DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents	-

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