We painted line drawings using a Stable Diffusion-based image generation model, Uni-ControlNet, which operates on multiple conditions to generate images.
Hollowed-Out Icon Colorization with Controllable. Diffusion Model. Koki Miyauchi. Department of Informatics. The University of Electro-Communications. Tokyo�...
Article "Hollowed-Out Icon Colorization with Controllable Diffusion Model" Detailed information of the J-GLOBAL is an information service managed by the�...
Koki Miyauchi, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga: Hollowed-Out Icon Colorization with Controllable Diffusion Model.
A dual conditional generative adversarial network (GAN) is trained to help designers create icons that are widely used in banners, signboards, billboards,�...
Hollowed-Out Icon Colorization with Controllable Diffusion Model. Proceedings of 7th International Conference on Information and Computer Technologies. Koki�...
This article introduces the Victorian400 dataset, created to colorize black-and-white illustrations from nineteenth-century British novels with deep learning�...
We present a novel image colorization framework that utilizes image diffusion techniques with granular text prompts.
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... Hollowed-Out Icon Colorization with Controllable Diffusion Model, 7th International Conference on Information and Computer Technologies (ICICT), pp.204-210�...
We successfully achieve highly controllable multi-modal image colorization. Our method is built on Stable Diffusion with new designs such as stroke control.
