FC-Render: Adaptive Font- and Color-Aware Text Diffusion Model

Text-to-image diffusion models have made remarkable progress in generating high-quality images, but achieving fine-grained control over visual text remains a challenge. Existing methods fall short in enabling precise manipulation of font and color in visual text. To address this, we propose FC-Render, a method that introduces adaptive Font and Color control into a pre-trained TextDiffuser-2 model. Our approach consists of two stages: first, we develop independent font and color experts for decoupled control over visual text attributes. Then, we introduce an adaptive router that dynamically adjusts the involvement of each expert in font, color, or combined tasks, enabling precise fusion of font and color features. Through extensive experiments, we demonstrate that FC-Render enables fine-grained control over font and color while maintaining text rendering quality, providing new insights into the interaction between font, color, and spelling accuracy.

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Published
2025-08-18
DOI
https://doi.org/10.1109/icip55913.2025.11084436
Primary Topic
Image Retrieval and Classification Techniques
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article
Field-Weighted Citation Impact
0.00

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article

FC-Render: Adaptive Font- and Color-Aware Text Diffusion Model

Pinpin Zhu, Bin Chen, Xilin Zhang, Hao Wang
Image Retrieval and Classification Techniques
article

FC-Render: Adaptive Font- and Color-Aware Text Diffusion Model

Pinpin Zhu, Bin Chen, Xilin Zhang, Hao Wang
article en

Abstract

Text-to-image diffusion models have made remarkable progress in generating high-quality images, but achieving fine-grained control over visual text remains a challenge. Existing methods fall short in enabling precise manipulation of font and color in visual text. To address this, we propose FC-Render, a method that introduces adaptive Font and Color control into a pre-trained TextDiffuser-2 model. Our approach consists of two stages: first, we develop independent font and color experts for decoupled control over visual text attributes. Then, we introduce an adaptive router that dynamically adjusts the involvement of each expert in font, color, or combined tasks, enabling precise fusion of font and color features. Through extensive experiments, we demonstrate that FC-Render enables fine-grained control over font and color while maintaining text rendering quality, providing new insights into the interaction between font, color, and spelling accuracy.

Shanghai University of Engineering Science (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 80%
Image Retrieval and Classification Techniques
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FC-Render: Adaptive Font- and Color-Aware Text Diffusion Model — Pinpin Zhu, Bin Chen, et al. · (2025) | TGRS Research Map | TGRS