Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application

التفاصيل البيبلوغرافية
العنوان: Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application
المؤلفون: Kim, Bumsoo, Byun, Sanghyun, Jung, Yonghoon, Shin, Wonseop, Amin, Sareer UI, Seo, Sanghyun
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Graphics, Computer Science - Machine Learning, Computer Science - Multimedia
الوصف: In this paper, we first present the character texture generation system \textit{Minecraft-ify}, specified to Minecraft video game toward in-game application. Ours can generate face-focused image for texture mapping tailored to 3D virtual character having cube manifold. While existing projects or works only generate texture, proposed system can inverse the user-provided real image, or generate average/random appearance from learned distribution. Moreover, it can be manipulated with text-guidance using StyleGAN and StyleCLIP. These features provide a more extended user experience with enlarged freedom as a user-friendly AI-tool. Project page can be found at https://gh-bumsookim.github.io/Minecraft-ify/
Comment: 2 pages, 2 figures. Accepted as Spotlight to NeurIPS 2023 Workshop on Machine Learning for Creativity and Design
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2402.05448
رقم الأكسشن: edsarx.2402.05448
قاعدة البيانات: arXiv