Manipulation Direction: Evaluating Text-Guided Image Manipulation Based on Similarity between Changes in Image and Text Modalities [PDF]
Sensors, 2023 At present, text-guided image manipulation is a notable subject of study in the vision and language field. Given an image and text as inputs, these methods aim to manipulate the image according to the text, while preserving text-irrelevant regions ...
Yuto Watanabe +4 more
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Text-Guided Customizable Image Synthesis and Manipulation
Applied Sciences, 2022 Due to the high flexibility and conformity to people’s usage habits, text description has been widely used in image synthesis research recently and has achieved many encouraging results.
Zhiqiang Zhang +3 more
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Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models
IEEE Access, 2021 A new style transfer-based image manipulation framework combining generative networks and style transfer networks is presented in this paper. Unlike conventional style transfer tasks, we tackle a new task, text-guided image manipulation. We realize style
Ren Togo +3 more
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LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation [PDF]
IEEE Access, 2021 Text-guided image manipulation tasks have recently gained attention in the vision-and-language community. While most of the prior studies focused on single-turn manipulation, our goal in this paper is to address the more challenging multi-turn image ...
Shoya Matsumori +4 more
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IEEE Access, 2023 This study proposes a novel text-guided image manipulation method that introduces referring image segmentation into a generative adversarial network. The proposed text-guided image manipulation method aims to manipulate images containing multiple objects
Yuto Watanabe +4 more
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TolerantGAN: Text-Guided Image Manipulation Tolerant to Real-World Image
IEEE Open Journal of Signal ProcessingAlthough text-guided image manipulation approaches have demonstrated highly accurate performance for editing the appearance of images in a virtual or simple scenario, their real-world applications face significant challenges.
Yuto Watanabe +4 more
doaj +2 more sources
Controllable Chinese landscape art creation using adversarially regularized autoencoder [PDF]
PeerJ Computer ScienceChinese landscape painting represents a rich artistic tradition that spans over a millennium, reflecting the complex interplay of philosophy, nature, and cultural expression distinctive to China.
Yu Liu +3 more
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Understanding and Preventing AI-Facilitated Cheating in Dental Education [PDF]
Future of Medical Education JournalBackground: Generative AI has created new academic-integrity risks in professional training. In dentistry, these risks carry direct patient-safety implications.Method: We conducted a structured narrative review (SANRA-guided) of PubMed, Scopus, and ...
Ali Mirzaei +2 more
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Security and Privacy in Generative Semantic Communication Systems: A Comprehensive Survey
MathematicsSemantic communication (SemCom) has emerged as a task-oriented communication paradigm that prioritizes meaning delivery over exact bit recovery. The integration of generative artificial intelligence (GenAI) into SemCom further enables knowledge-guided ...
Mehwish Ali Naqvi, Insoo Sohn
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Target-Oriented Adversarial Patches Against Vision–Language Models via Heatmap-Guided Localization
IEEE AccessVision-language models (VLMs) are increasingly used in safety-related settings; therefore, it is vital to understand their underlying vulnerability to adversarial manipulation. Adversarial patches are practical local perturbations.
Xueying Wang +8 more
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