[Research] Exciting New Paper on StyleGAN Domain Adaptation: StyleDomain - ICCV 2023

Hey, fellow machine learning enthusiasts!

AIRI researchers are thrilled to share some exciting news with you all. Our paper, "StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation", has been accepted to ICCV 2023! 🥳

>**Abstract:** Domain adaptation of GANs is a problem of fine-tuning GAN models pretrained on a large dataset (e.g., StyleGAN) to a specific domain with few samples (e.g., painting faces, sketches, etc.). While there are many methods that tackle this problem in …

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