Image Generation On Lsun Churches 256 X 256

Metrics

FID

Results

Performance results of various models on this benchmark

Model Name	FID	Paper Title	Repository
Unleashing Transformers	4.07	Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes	-
WaveDiff	5.06	Wavelet Diffusion Models are fast and scalable Image Generators	-
DDGAN	5.25	Tackling the Generative Learning Trilemma with Denoising Diffusion GANs	-
INR-GAN-bil	4.04	Adversarial Generation of Continuous Images	-
Diffusion ProjectedGAN	1.85	Diffusion-GAN: Training GANs with Diffusion	-
SWAGAN-Bi	4.97	SWAGAN: A Style-based Wavelet-driven Generative Model	-
TDPM+ (TTrunc=99)	3.98	Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders	-
BOSS	-	Bellman Optimal Stepsize Straightening of Flow-Matching Models	-
LFM	5.54	Flow Matching in Latent Space	-
Patch Diffusion	2.66	-	-
StyleGAN	4.21	A Style-Based Generator Architecture for Generative Adversarial Networks	-
Denoising Diffusion Probabilistic Model	7.89	Denoising Diffusion Probabilistic Models	-
Diffusion StyleGAN2	3.17	Diffusion-GAN: Training GANs with Diffusion	-
PNDM	8.69	Pseudo Numerical Methods for Diffusion Models on Manifolds	-
VE (erel=0.01)	26.46	Gotta Go Fast When Generating Data with Score-Based Models	-
CLR-GAN	3.43	CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction
Vision-aided GAN	1.72	Ensembling Off-the-shelf Models for GAN Training	-
StyleGAN2	3.86	Analyzing and Improving the Image Quality of StyleGAN	-
Polarity-StyleGAN2	3.92	Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values	-
CIPS	2.92	Image Generators with Conditionally-Independent Pixel Synthesis	-

0 of 27 row(s) selected.