HyperAI超神经

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HyperAI超神经

Image Generation On Celeba 256X256

评估指标

bpd

评测结果

各个模型在此基准测试上的表现结果

模型名称	bpd	Paper Title	Repository
SPN Menick and Kalchbrenner (2019)	0.61	Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling	-
LSGM	0.70	Score-based Generative Modeling in Latent Space	-
StyleSwin	-	StyleSwin: Transformer-based GAN for High-resolution Image Generation	-
NCP-VAE	-	A Contrastive Learning Approach for Training Variational Autoencoder Priors	-
MaCow (Unf)	0.95	MaCow: Masked Convolutional Generative Flow	-
Efficient-VDVAE	0.51	Efficient-VDVAE: Less is more	-
HiT-B	-	Improved Transformer for High-Resolution GANs	-
StyleALAE	-	Adversarial Latent Autoencoders	-
Glow (Kingma and Dhariwal, 2018)	1.03	Glow: Generative Flow with Invertible 1x1 Convolutions	-
Residual Flow	0.992	Residual Flows for Invertible Generative Modeling	-
Locally Masked PixelCNN	0.74	Locally Masked Convolution for Autoregressive Models	-
GLF+perceptual loss (ours)	-	Generative Latent Flow	-
MSP	-	Latent Space Factorisation and Manipulation via Matrix Subspace Projection	-
VQGAN	-	Taming Transformers for High-Resolution Image Synthesis	-
ANF Huang et al. (2020)	0.72	Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models	-
NVAE w/ flow	0.70	NVAE: A Deep Hierarchical Variational Autoencoder	-
MaCow (Var)	0.67	MaCow: Masked Convolutional Generative Flow	-

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