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Related papers: A Taxonomy of Prompt Modifiers for Text-To-Image G…

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In the world of technology and AI, digital models play an important role in our lives and are an essential part of the digital twins of real-world objects. They can be created by designers, artists, or game developers using spline curves…

Graphics · Computer Science 2025-05-20 Rushan Ziatdinov , Rifkat Nabiyev

Humankind is entering a novel creative era in which anybody can synthesize digital information using generative artificial intelligence (AI). Text-to-image generation, in particular, has become vastly popular and millions of practitioners…

Computers and Society · Computer Science 2024-09-04 Jonas Oppenlaender

The text-to-image synthesis by diffusion models has recently shown remarkable performance in generating high-quality images. Although performs well for simple texts, the models may get confused when faced with complex texts that contain…

Computer Vision and Pattern Recognition · Computer Science 2024-01-15 Chang Yu , Junran Peng , Xiangyu Zhu , Zhaoxiang Zhang , Qi Tian , Zhen Lei

The quality of the prompts provided to text-to-image diffusion models determines how faithful the generated content is to the user's intent, often requiring `prompt engineering'. To harness visual concepts from target images without prompt…

Computer Vision and Pattern Recognition · Computer Science 2023-12-20 Shweta Mahajan , Tanzila Rahman , Kwang Moo Yi , Leonid Sigal

Generative Artificial Intelligence (GenAI) systems are increasingly being deployed across diverse industries and research domains. Developers and end-users interact with these systems through the use of prompting and prompt engineering.…

In the current study,we propose that, in the era of generative AI, there is now a new form of literacy called "prompt literacy," which refers to the ability to generate precise prompts as input for AI systems, interpret the outputs, and…

Human-Computer Interaction · Computer Science 2023-11-10 Yohan Hwang , Jang Ho Lee , Dongkwang Shin

Text-to-Image models, including Stable Diffusion, have significantly improved in generating images that are highly semantically aligned with the given prompts. However, existing models may fail to produce appropriate images for the cultural…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Suchae Jeong , Inseong Choi , Youngsik Yun , Jihie Kim

Text-to-Image and Text-to-Video AI generation models are revolutionary technologies that use deep learning and natural language processing (NLP) techniques to create images and videos from textual descriptions. This paper investigates…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Aditi Singh

Text-to-image (T2I) research has grown explosively in the past year, owing to the large-scale pre-trained diffusion models and many emerging personalization and editing approaches. Yet, one pain point persists: the text prompt engineering,…

Computer Vision and Pattern Recognition · Computer Science 2023-06-02 Xingqian Xu , Jiayi Guo , Zhangyang Wang , Gao Huang , Irfan Essa , Humphrey Shi

The emergence of generative AI (GenAI) models, including large language models and text-to-image models, has significantly advanced the synergy between humans and AI with not only their outstanding capability but more importantly, the…

Human-Computer Interaction · Computer Science 2025-03-05 Leixian Shen , Haotian Li , Yifang Wang , Xing Xie , Huamin Qu

Generative AI (GenAI) image tools are increasingly used in design practice, enabling rapid ideation but offering limited support for refinement tasks such as adjusting layout, scale, or visual attributes. While text prompts and inpainting…

Human-Computer Interaction · Computer Science 2026-02-10 Hyerim Park , Phuong Thao Tran , Andre Luckow , Ceenu George , Michael Sedlmair , Malin Eiband

Recent text-driven image editing in diffusion models has shown remarkable success. However, the existing methods assume that the user's description sufficiently grounds the contexts in the source image, such as objects, background, style,…

Computer Vision and Pattern Recognition · Computer Science 2023-06-06 Sunwoo Kim , Wooseok Jang , Hyunsu Kim , Junho Kim , Yunjey Choi , Seungryong Kim , Gayeong Lee

Text-to-image generation models~(e.g., Stable Diffusion) have achieved significant advancements, enabling the creation of high-quality and realistic images based on textual descriptions. Prompt inversion, the task of identifying the textual…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Mingzhe Li , Kejing Xia , Gehao Zhang , Zhenting Wang , Guanhong Tao , Siqi Pan , Juan Zhai , Shiqing Ma

State-of-the-art visual generative AI tools hold immense potential to assist users in the early ideation stages of creative tasks -- offering the ability to generate (rather than search for) novel and unprecedented (instead of existing)…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Evans Xu Han , Alice Qian Zhang , Haiyi Zhu , Hong Shen , Paul Pu Liang , Jane Hsieh

Machine learning models that convert user-written text descriptions into images are now widely available online and used by millions of users to generate millions of images a day. We investigate the potential for these models to amplify…

Text-to-image generation (T2I) refers to the text-guided generation of high-quality images. In the past few years, T2I has attracted widespread attention and numerous works have emerged. In this survey, we comprehensively review 141 works…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Pengfei Yang , Ngai-Man Cheung , Xinda Ma

Facial images have extensive practical applications. Although the current large-scale text-image diffusion models exhibit strong generation capabilities, it is challenging to generate the desired facial images using only text prompt. Image…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Dawei Dai , Mingming Jia , Yinxiu Zhou , Hang Xing , Chenghang Li

With AI-generated content becoming ubiquitous across the web, social media, and other digital platforms, it is vital to examine how such content are inspired and generated. The creation of AI-generated images often involves refining the…

Artificial Intelligence · Computer Science 2025-04-30 Khoi Trinh , Scott Seidenberger , Raveen Wijewickrama , Murtuza Jadliwala , Anindya Maiti

In the realm of AI architectural design, the importance of prompts is becoming increasingly prominent. With advancements in artificial intelligence and large-scale model technology, more design tasks are being delegated to machine learning…

Human-Computer Interaction · Computer Science 2024-04-25 Xin Zhang , Wenwen Liu

Text-to-image generation models that generate images based on prompt descriptions have attracted an increasing amount of attention during the past few months. Despite their encouraging performance, these models raise concerns about the…

Cryptography and Security · Computer Science 2023-01-10 Zeyang Sha , Zheng Li , Ning Yu , Yang Zhang