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Generative Artificial Intelligence (AI) is a cutting-edge technology capable of producing text, images, and various media content leveraging generative models and user prompts. Between 2022 and 2023, generative AI surged in popularity with…

人工智能 · 计算机科学 2023-10-27 Nouar AlDahoul , Joseph Hong , Matteo Varvello , Yasir Zaki

Recent advances in Artificial Intelligence Generated Content (AIGC) have garnered significant interest, accompanied by an increasing need to transmit and compress the vast number of AI-generated images (AIGIs). However, there is a…

图像与视频处理 · 电气工程与系统科学 2024-12-18 Ruijie Chen , Qi Mao , Zhengxue Cheng

GUI (graphical user interface) prototyping is a widely-used technique in requirements engineering for gathering and refining requirements, reducing development risks and increasing stakeholder engagement. However, GUI prototyping can be a…

软件工程 · 计算机科学 2023-10-05 Jialiang Wei , Anne-Lise Courbis , Thomas Lambolais , Binbin Xu , Pierre Louis Bernard , Gérard Dray

Text-to-image models (T2I) such as StableDiffusion have been used to generate high quality images of people. However, due to the random nature of the generation process, the person has a different appearance e.g. pose, face, and clothing,…

计算机视觉与模式识别 · 计算机科学 2023-12-19 Soon Yau Cheong , Armin Mustafa , Andrew Gilbert

EasyRead pictograms are simple, visually clear images that represent specific concepts and support comprehension for people with intellectual disabilities, low literacy, or language barriers. The large-scale production of EasyRead content…

Diffusion-based generative models' impressive ability to create convincing images has garnered global attention. However, their complex internal structures and operations often pose challenges for non-experts to grasp. We introduce…

Recent advances in Diffusion Models have enabled the generation of images from text, with powerful closed-source models like DALL-E and Midjourney leading the way. However, open-source alternatives, such as StabilityAI's Stable Diffusion,…

This technical report presents a diffusion model based framework for face swapping between two portrait images. The basic framework consists of three components, i.e., IP-Adapter, ControlNet, and Stable Diffusion's inpainting pipeline, for…

计算机视觉与模式识别 · 计算机科学 2024-05-30 Feifei Wang

Recently, there has been significant progress in the development of large models. Following the success of ChatGPT, numerous language models have been introduced, demonstrating remarkable performance. Similar advancements have also been…

计算机视觉与模式识别 · 计算机科学 2023-08-28 Tianyi Zhang , Zheng Wang , Jing Huang , Mohiuddin Muhammad Tasnim , Wei Shi

Multimodal generative AI systems like Stable Diffusion, DALL-E, and MidJourney have fundamentally changed how synthetic images are created. These tools drive innovation but also enable the spread of misleading content, false information,…

Benefiting from the significant advancements in text-to-image diffusion models, research in personalized image generation, particularly customized portrait generation, has also made great strides recently. However, existing methods either…

计算机视觉与模式识别 · 计算机科学 2026-02-03 Benxiang Zhai , Yifang Xu , Guofeng Zhang , Yang Li , Sidan Du

There has been significant progress in personalized image synthesis with methods such as Textual Inversion, DreamBooth, and LoRA. Yet, their real-world applicability is hindered by high storage demands, lengthy fine-tuning processes, and…

计算机视觉与模式识别 · 计算机科学 2024-02-05 Qixun Wang , Xu Bai , Haofan Wang , Zekui Qin , Anthony Chen , Huaxia Li , Xu Tang , Yao Hu

The rapid progress in generative models has given rise to the critical task of AI-Generated Content Stealth (AIGC-S), which aims to create AI-generated images that can evade both forensic detectors and human inspection. This task is crucial…

计算机视觉与模式识别 · 计算机科学 2024-08-13 Ziyin Zhou , Ke Sun , Zhongxi Chen , Huafeng Kuang , Xiaoshuai Sun , Rongrong Ji

In this paper, we introduce an innovative application of artificial intelligence in the realm of interior design through the integration of Stable Diffusion and Dreambooth models. This paper explores the potential of these advanced…

人机交互 · 计算机科学 2024-05-30 Kaiwen Zhou , Tianyu Wang

Recently, stable diffusion (SD) models have typically flourished in the field of image synthesis and personalized editing, with a range of photorealistic and unprecedented images being successfully generated. As a result, widespread…

计算机视觉与模式识别 · 计算机科学 2024-07-22 Zhiyuan Ma , Guoli Jia , Biqing Qi , Bowen Zhou

Due to the high potential for abuse of GenAI systems, the task of detecting synthetic images has recently become of great interest to the research community. Unfortunately, existing image-space detectors quickly become obsolete as new…

计算机视觉与模式识别 · 计算机科学 2024-06-14 George Cazenavette , Avneesh Sud , Thomas Leung , Ben Usman

Diffusion-based generative models' impressive ability to create convincing images has garnered global attention. However, their complex structures and operations often pose challenges for non-experts to grasp. We present Diffusion…

In this research work we have proposed high-level ChildDiffusion framework capable of generating photorealistic child facial samples and further embedding several intelligent augmentations on child facial data using short text prompts,…

计算机视觉与模式识别 · 计算机科学 2024-10-23 Muhammad Ali Farooq , Wang Yao , Peter Corcoran

Text-to-Image artificial intelligence (AI) recently saw a major breakthrough with the release of Dall-E and its open-source counterpart, Stable Diffusion. These programs allow anyone to create original visual art pieces by simply providing…

人机交互 · 计算机科学 2023-01-06 Nassim Dehouche , Kullathida Dehouche

In layout-to-image (L2I) synthesis, controlled complex scenes are generated from coarse information like bounding boxes. Such a task is exciting to many downstream applications because the input layouts offer strong guidance to the…

计算机视觉与模式识别 · 计算机科学 2025-03-18 Ruyu Wang , Xuefeng Hou , Sabrina Schmedding , Marco F. Huber
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