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S-Lab and NTU Researchers Propose Scenimefy: A Novel Semi-Supervised Image-to-Image Translation Framework that Bridges the Gap in Automatic High-Quality Anime Scene Rendering from Real-World Images
MarkTechPost www.marktechpost.com
Anime sceneries need a great deal of creative talent and time to create. Hence, the development of learning-based methods for automatic scene stylization has undeniable practical and economic significance. Automatic stylization has significantly improved due to recent developments in Generative Adversarial Networks (GANs), yet most of this research has mostly focused on human faces. The […]
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