Image Generation On Lsun Bedroom 256 X 256

FID-10k-training-steps

Results

Performance results of various models on this benchmark

Model Name	FID-10k-training-steps	Paper Title	Repository
SAGAN	14.0595	Generative Adversarial Transformers
StyleGAN	-	-	-
SS-GAN (sBN)	-	Self-Supervised GANs via Auxiliary Rotation Loss
LFM	-	Flow Matching in Latent Space
Patch Diffusion	-	-	-
ADM (dropout)	-	Diffusion Models Beat GANs on Image Synthesis
StyleGAN (DINOv2)	-	-	-
PGGAN	-	Progressive Growing of GANs for Improved Quality, Stability, and Variation
Unleashing Transformers	-	Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
Denoising Diffusion Probabilistic Model (large)	-	Denoising Diffusion Probabilistic Models
StyleGAN2	11.5255	Generative Adversarial Transformers
Denoising Diffusion Probabilistic Model (large, DINOv2)	-	Denoising Diffusion Probabilistic Models
iDDPM (DINOv2)	-	-	-
TDPM+ (TTrunc=99)	-	Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders
VQGAN	59.6333	Generative Adversarial Transformers
Consistency	-	-	-
Projected GAN (DINOv2)	-	Projected GANs Converge Faster
StackGAN-v2	-	StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Projected GAN	1.52	Projected GANs Converge Faster
Consistency (DINOv2)	-	-	-

0 of 32 row(s) selected.