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Recent breakthroughs in the field of language-guided image generation have yielded impressive achievements, enabling the creation of high-quality and diverse images based on user instructions.Although the synthesis performance is…

Computer Vision and Pattern Recognition · Computer Science 2023-05-24 Jian Ma , Mingjun Zhao , Chen Chen , Ruichen Wang , Di Niu , Haonan Lu , Xiaodong Lin

Automatic generation of artistic glyph images is a challenging task that attracts many research interests. Previous methods either are specifically designed for shape synthesis or focus on texture transfer. In this paper, we propose a novel…

Computer Vision and Pattern Recognition · Computer Science 2020-05-20 Yue Gao , Yuan Guo , Zhouhui Lian , Yingmin Tang , Jianguo Xiao

Recently, AI-generated content (AIGC) has gained significant traction due to its powerful creation capability. However, the storage and transmission of large amounts of high-quality AIGC images inevitably pose new challenges for recent file…

Computer Vision and Pattern Recognition · Computer Science 2025-02-11 Yixin Gao , Runsen Feng , Xin Li , Weiping Li , Zhibo Chen

The rapid advancement of Text-to-Image(T2I) generative models has enabled the synthesis of high-quality images guided by textual descriptions. Despite this significant progress, these models are often susceptible in generating contents that…

Computer Vision and Pattern Recognition · Computer Science 2024-06-25 Yichen Sun , Zhixuan Chu , Zhan Qin , Kui Ren

Artistic typography is a technique to visualize the meaning of input character in an imaginable and readable manner. With powerful text-to-image diffusion models, existing methods directly design the overall geometry and texture of input…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Kailai Feng , Yabo Zhang , Haodong Yu , Zhilong Ji , Jinfeng Bai , Hongzhi Zhang , Wangmeng Zuo

In recent years, significant progress has been made in the development of text-to-image generation models. However, these models still face limitations when it comes to achieving full controllability during the generation process. Often,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Salaheldin Mohamed

Artificial Intelligence Generated Content (AIGC) is leading a new technical revolution for the acquisition of digital content and impelling the progress of visual compression towards competitive performance gains and diverse functionalities…

Computer Vision and Pattern Recognition · Computer Science 2024-02-07 Bolin Chen , Shanzhi Yin , Peilin Chen , Shiqi Wang , Yan Ye

Synthesizing high-fidelity complex images from text is challenging. Based on large pretraining, the autoregressive and diffusion models can synthesize photo-realistic images. Although these large models have shown notable progress, there…

Computer Vision and Pattern Recognition · Computer Science 2023-01-31 Ming Tao , Bing-Kun Bao , Hao Tang , Changsheng Xu

Considerable progress has recently been made in leveraging CLIP (Contrastive Language-Image Pre-Training) models for text-guided image manipulation. However, all existing works rely on additional generative models to ensure the quality of…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Yiren Song , Xuning Shao , Kang Chen , Weidong Zhang , Minzhe Li , Zhongliang Jing

Diffusion models have become a new generative paradigm for text generation. Considering the discrete categorical nature of text, in this paper, we propose GlyphDiffusion, a novel diffusion approach for text generation via text-guided image…

Computation and Language · Computer Science 2023-05-09 Junyi Li , Wayne Xin Zhao , Jian-Yun Nie , Ji-Rong Wen

As AI-generated image (AIGI) methods become more powerful and accessible, it has become a critical task to determine if an image is real or AI-generated. Because AIGI lack the signatures of photographs and have their own unique patterns,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 A. G. Moskowitz , T. Gaona , J. Peterson

The field of text-to-image (T2I) generation has made significant progress in recent years, largely driven by advancements in diffusion models. Linguistic control enables effective content creation, but struggles with fine-grained control…

Computer Vision and Pattern Recognition · Computer Science 2024-07-19 Yanan Sun , Yanchen Liu , Yinhao Tang , Wenjie Pei , Kai Chen

Automatic font generation (AFG) is the process of creating a new font using only a few examples of the style images. Generating fonts for complex languages like Korean and Chinese, particularly in handwritten styles, presents significant…

Computer Vision and Pattern Recognition · Computer Science 2025-05-01 Abdul Sami , Avinash Kumar , Irfanullah Memon , Youngwon Jo , Muhammad Rizwan , Jaeyoung Choi

Cutting and pasting image segments feels intuitive: the choice of source templates gives artists flexibility in recombining existing source material. Formally, this process takes an image set as input and outputs a collage of the set…

Computer Vision and Pattern Recognition · Computer Science 2019-12-02 Nikolay Jetchev , Urs Bergmann , Gökhan Yildirim

Glyph-based visualization achieves an impressive graphic design when associated with comprehensive visual metaphors, which help audiences effectively grasp the conveyed information through revealing data semantics. However, creating such…

Human-Computer Interaction · Computer Science 2022-09-14 Lu Ying , Xinhuan Shu , Dazhen Deng , Yuchen Yang , Tan Tang , Lingyun Yu , Yingcai Wu

Recent advances in generative models and adversarial training have enabled artificially generating artworks in various artistic styles. It is highly desirable to gain more control over the generated style in practice. However, artistic…

Computer Vision and Pattern Recognition · Computer Science 2021-10-26 Xin Miao , Huayan Wang , Jun Fu , Jiayi Liu , Shen Wang , Zhenyu Liao

The rapid advancement of Artificial Intelligence Generated Content (AIGC) techniques has unlocked opportunities in generating diverse and compelling advertising images based on referenced product images and textual scene descriptions. This…

Graphics · Computer Science 2025-08-19 Yiyun Chen , Weikai Yang

Fonts are integral to creative endeavors, design processes, and artistic productions. The appropriate selection of a font can significantly enhance artwork and endow advertisements with a higher level of expressivity. Despite the…

Computer Vision and Pattern Recognition · Computer Science 2024-08-15 Lei Kang , Fei Yang , Kai Wang , Mohamed Ali Souibgui , Lluis Gomez , Alicia Fornés , Ernest Valveny , Dimosthenis Karatzas

Diffusion model based Text-to-Image has achieved impressive achievements recently. Although current technology for synthesizing images is highly advanced and capable of generating images with high fidelity, it is still possible to give the…

Computer Vision and Pattern Recognition · Computer Science 2024-02-22 Yuxiang Tuo , Wangmeng Xiang , Jun-Yan He , Yifeng Geng , Xuansong Xie

We tackle the common challenge of inter-concept visual confusion in compositional concept generation using text-guided diffusion models (TGDMs). It becomes even more pronounced in the generation of customized concepts, due to the scarcity…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Wang Lin , Jingyuan Chen , Jiaxin Shi , Yichen Zhu , Chen Liang , Junzhong Miao , Tao Jin , Zhou Zhao , Fei Wu , Shuicheng Yan , Hanwang Zhang
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