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cs.CV2026

Beyond Plausibility: Verifiable Fine-Grained Image Editing on Structured Assets

Muyao Wang, Chen Zhu, Shiqi Yang +2

Fine-grained image editing requires more than producing a visually plausible result: an editor must execute the requested attribute change precisely while leaving everything else i…

cs.CV2026

Follow-Your-Preference++: Rethinking Preference Alignment for Image Inpainting

Junkun Yuan, Yutao Shen, Toru Aonishi +2

We study preference alignment for image inpainting. Rather than proposing yet another method, we revisit the problem from first principles and reassess its core challenges. We adop…

cs.CV2026

MangaFlow: An End-to-End Agentic Framework for Controllable Story to Manga Generation

Muyao Wang, Zeke Xie, Yanhao Chen +2

End-to-end manga generation is a structured visual storytelling task that requires story decomposition, recurring character and scene grounding, page layout design, panel rendering…

cs.CV2024

Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer

Kento Masui, Mayu Otani, Masahiro Nomura +1

Diffusion models have recently shown the ability to generate high-quality images. However, controlling its generation process still poses challenges. The image style transfer task…

cs.CV2024

LayoutFlow: Flow Matching for Layout Generation

Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui +2

Finding a suitable layout represents a crucial task for diverse applications in graphic design. Motivated by simpler and smoother sampling trajectories, we explore the use of Flow…