Skip to content

Author

Dimas Hendra Yudha

We have 1 of 1 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Jul 2026

Comparative Analysis of Vision Transformer (DeiT) and Transfer Learning-Based CNN (ResNet50) Performance in Identifying AI-Generated 2D Animation Illustrations

Findings indicate that Vision Transformer-based models have strong potential for detecting AI-generated anime illustrations and can contribute to the development of more reliable digital artwork authenticity detection systems.

Hasan, Dimas Hendra Yudha, Nazwa Mutia Salma · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.