الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

النظام

Image Generation On Celeba 256X256

المقاييس

bpd

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	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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Image Generation On Celeba 256X256 | SOTA | HyperAI