Poster
in
Workshop: NeurIPS 2023 Workshop on Machine Learning for Creativity and Design
Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application
Bumsoo Kim · Sanghyun Byun · Yonghoon Jung · Wonseop Shin · Sareer Ul Amin · Sanghyun Seo
[
Abstract
]
[ Project Page ]
presentation:
NeurIPS 2023 Workshop on Machine Learning for Creativity and Design
Sat 16 Dec 6:15 a.m. PST — 2:40 p.m. PST
[
Poster]
Sat 16 Dec 1:30 p.m. PST
— 2:30 p.m. PST
Sat 16 Dec 6:15 a.m. PST — 2:40 p.m. PST
Abstract:
In this paper, we first present the character texture generation system specifiedto Minecraft video game toward in-game application. Ours can generate face-focused texture for texture mapping tailored to 3D virtual character having cubemanifold. While existing projects or works only generate texture, proposed systemcan inverse the user-provided real image, or generate mean/random appearancefrom learned distribution. Then it can be manipulated with text-guidance usingStyleGAN and StyleCLIP. These provide the more extended user experience withenlarged freedom as a user-friendly AI-tool. Project page can be found at https://gh-bumsookim.github.io/Minecraft-ify/
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