VariGAN: Enhancing Image Style Transfer via UNet Generator, Depthwise Discriminator, and LPIPS Loss in Adversarial Learning Framework

Image style transfer is a challenging task that has gained significant attention in recent years due to its growing complexity. Training is typically performed using paradigms offered by GAN-based image style transfer networks. Cycle-based training methods provide an approach for handling unpaired d...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Dawei Guan, Xinping Lin, Haoyi Zhang, Hang Zhou
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-04-01
Serija:	Sensors
Teme:	style transfer GAN LPIPS UNet ResNet image segmentation
Online dostop:	https://www.mdpi.com/1424-8220/25/9/2671
Oznake:	Označite Brez oznak, prvi označite!