TL;DR
The region-aware diverse stylization (RDS) method is proposed, which generates multiple distinct stylized images from a single-style image without additional training and significantly outperforms state-of-the-art approaches in both fidelity and diversity.
A Structure-Guided Textual Mask Network is designed to predict geometry-aware editing regions by leveraging refined textual structural cues and human-centric priors, where a structural prior reweighting mechanism is introduced to improve localization accuracy.
In image and video technologies, data augmentation is widely used to improve the generalization of deep visual models, and mixup-based strategies that interpolate between samples have become the dominant approach. However, computing informative mixing regions adds substantial overhead, and blending content across diffe...
A comprehensive hierarchical taxonomy featuring over 1,000 fine-grained edit concepts is established and a dense supervision training strategy that synthesizes multiple non-interfering concepts into single image pairs is proposed that significantly enhances both training efficiency and overall model performance.
Traditional poster design often struggles to efficiently and accurately preserve the complex styles, textures, and cultural connotations of intangible cultural heritage (ICH), resulting in limited visual information expression. To address this challenge, this paper proposes an adaptive feature fusion style transfer mod...
Recent advances in generative models have achieved remarkable performance in text- and image-conditioned editing. However, preserving the content of a given image while referencing style patterns from another remains challenging, often leading to uncontrollable stylization results. In this paper, we approach image styl...
This work proposes InnoText, a unified DiT-based framework capable of performing both text generation and editing within a single model, and introduces a Font Size-Aware Modulation module to enhance representations across font scales, a Small-Character Aware Augmentation strategy to improve fine-grained fidelity, and a...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
