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Autor principal: Furuta, Ryosuke
Formato: Preprint
Publicado: 2026
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Acceso en línea:https://arxiv.org/abs/2603.27790
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author Furuta, Ryosuke
author_facet Furuta, Ryosuke
contents We present an inference-time adaptation method that tailors a pretrained image editing model to each input manga image using only the input image itself. Despite recent progress in pretrained image editing, such models often underperform on manga because they are trained predominantly on natural-image data. Re-training or fine-tuning large-scale models on manga is, however, generally impractical due to both computational cost and copyright constraints. To address this issue, our method slightly corrects the generation trajectory at inference time so that the input image can be reconstructed more faithfully under an empty prompt. Experimental results show that our method consistently outperforms existing baselines while incurring only negligible computational overhead.
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publishDate 2026
record_format arxiv
spellingShingle Inference-time Trajectory Optimization for Manga Image Editing
Furuta, Ryosuke
Computer Vision and Pattern Recognition
We present an inference-time adaptation method that tailors a pretrained image editing model to each input manga image using only the input image itself. Despite recent progress in pretrained image editing, such models often underperform on manga because they are trained predominantly on natural-image data. Re-training or fine-tuning large-scale models on manga is, however, generally impractical due to both computational cost and copyright constraints. To address this issue, our method slightly corrects the generation trajectory at inference time so that the input image can be reconstructed more faithfully under an empty prompt. Experimental results show that our method consistently outperforms existing baselines while incurring only negligible computational overhead.
title Inference-time Trajectory Optimization for Manga Image Editing
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2603.27790