HyperAI초신경

Image Generation On Lsun Churches 256 X 256

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이 벤치마크에서 각 모델의 성능 결과

모델 이름
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Paper TitleRepository
Unleashing Transformers4.07Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
WaveDiff5.06Wavelet Diffusion Models are fast and scalable Image Generators
DDGAN5.25Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
INR-GAN-bil4.04Adversarial Generation of Continuous Images
Diffusion ProjectedGAN1.85Diffusion-GAN: Training GANs with Diffusion
SWAGAN-Bi4.97SWAGAN: A Style-based Wavelet-driven Generative Model
TDPM+ (TTrunc=99)3.98Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders
BOSS-Bellman Optimal Stepsize Straightening of Flow-Matching Models
LFM5.54Flow Matching in Latent Space
Patch Diffusion2.66--
StyleGAN4.21A Style-Based Generator Architecture for Generative Adversarial Networks
Denoising Diffusion Probabilistic Model7.89Denoising Diffusion Probabilistic Models
Diffusion StyleGAN23.17Diffusion-GAN: Training GANs with Diffusion
PNDM8.69Pseudo Numerical Methods for Diffusion Models on Manifolds
VE (erel=0.01)26.46Gotta Go Fast When Generating Data with Score-Based Models
CLR-GAN3.43CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction
Vision-aided GAN1.72Ensembling Off-the-shelf Models for GAN Training
StyleGAN23.86Analyzing and Improving the Image Quality of StyleGAN
Polarity-StyleGAN23.92Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
CIPS2.92Image Generators with Conditionally-Independent Pixel Synthesis
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