3 papers
cs.CV2025
SCAdapter: Content-Style Disentanglement for Diffusion Style Transfer
Luan Thanh Trinh, Kenji Doi, Atsuki Osanai
Diffusion models have emerged as the leading approach for style transfer, yet they struggle with photo-realistic transfers, often producing painting-like results or missing detaile…
cs.CV2024
VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction
Jiahao Zhang, Ryota Yoshihashi, Shunsuke Kitada +2
Large language models (LLMs) have proven effective for layout generation due to their ability to produce structure-description languages, such as HTML or JSON. In this paper, we ar…
cs.CV2024
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model
Shoma Iwai, Atsuki Osanai, Shunsuke Kitada +1
Layout generation is a task to synthesize a harmonious layout with elements characterized by attributes such as category, position, and size. Human designers experiment with the pl…