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Generative AI (GenAI) models have become more capable than ever at augmenting productivity and cognition across diverse contexts. However, a fundamental challenge remains as users struggle to anticipate what AI will generate. As a result,…

Human-Computer Interaction · Computer Science 2025-04-17 Bryan Min , Haijun Xia

Text-to-image models are powerful tools for image creation. However, the generation process is akin to a dice roll and makes it difficult to achieve a single image that captures everything a user wants. In this paper, we propose a framework…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Sean J. Liu , Nupur Kumari , Ariel Shamir , Jun-Yan Zhu

We introduce Generative Lecture, a concept that makes existing lecture videos interactive through generative AI and AI clone instructors. By leveraging interactive avatars powered by HeyGen, ElevenLabs, and GPT-5, we embed an AI instructor…

Human-Computer Interaction · Computer Science 2025-12-30 Hye-Young Jo , Ada Yi Zhao , Xiaoan Liu , Ryo Suzuki

Generative AI (GenAI) has significantly advanced the ease and flexibility of image creation. However, it remains a challenge to precisely control spatial compositions, including object arrangement and scene conditions. To bridge this gap,…

Human-Computer Interaction · Computer Science 2025-08-12 Runlin Duan , Yuzhao Chen , Rahul Jain , Yichen Hu , Jingyu Shi , Karthik Ramani

Many blind and low vision (BLV) people are excluded from professional roles that may involve visual tasks due to access barriers and persisting stigmas. Advancing generative AI systems can support BLV people through providing contextual and…

Human-Computer Interaction · Computer Science 2025-10-13 Lucy Jiang , Lotus Zhang , Leah Findlater

The creation of complex 3D scenes tailored to user specifications has been a tedious and challenging task with traditional 3D modeling tools. Although some pioneering methods have achieved automatic text-to-3D generation, they are generally…

Computer Vision and Pattern Recognition · Computer Science 2025-05-09 Xiuyu Yang , Yunze Man , Jun-Kun Chen , Yu-Xiong Wang

Recent advancements in generative models have provided promising solutions for synthesizing realistic driving videos, which are crucial for training autonomous driving perception models. However, existing approaches often struggle with…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Wei Wu , Xi Guo , Weixuan Tang , Tingxuan Huang , Chiyu Wang , Dongyue Chen , Chenjing Ding

Presentation generation requires deep content research, coherent visual design, and iterative refinement based on observation. However, existing presentation agents often rely on predefined workflows and fixed templates. To address this, we…

Artificial Intelligence · Computer Science 2026-04-21 Hao Zheng , Guozhao Mo , Xinru Yan , Qianhao Yuan , Wenkai Zhang , Xuanang Chen , Yaojie Lu , Hongyu Lin , Xianpei Han , Le Sun

Generating realistic 3D indoor scenes from user inputs remains a challenging problem in computer vision and graphics, requiring careful balance of geometric consistency, spatial relationships, and visual realism. While neural generation…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Mengqi Zhou , Xipeng Wang , Yuxi Wang , Zhaoxiang Zhang

Scene generation has extensive industrial applications, demanding both high realism and precise control over geometry and appearance. Language-driven retrieval methods compose plausible scenes from a large object database, but overlook…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Zhifei Yang , Guangyao Zhai , Keyang Lu , YuYang Yin , Chao Zhang , Zhen Xiao , Jieyi Long , Nassir Navab , Yikai Wang

In traditional human living environment landscape design, the establishment of three-dimensional models is an essential step for designers to intuitively present the spatial relationships of design elements, as well as a foundation for…

Human-Computer Interaction · Computer Science 2024-04-26 Ran Chen , Zeke Lian , Yueheng He , Xiao Ling , Fuyu Yang , Xueqi Yao , Xingjian Yi , Jing Zhao

Recent advancements in Generative Artificial Intelligence (GenAI) have significantly enhanced the capabilities of both image generation and editing. However, current approaches often treat these tasks separately, leading to inefficiencies…

Computer Vision and Pattern Recognition · Computer Science 2026-01-30 Thanh-Nhan Vo , Trong-Thuan Nguyen , Tam V. Nguyen , Minh-Triet Tran

The rapid advancement of AI and computer vision has significantly increased the demand for high-quality annotated datasets, particularly for semantic segmentation. However, creating such datasets is resource-intensive, requiring substantial…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Ngoc-Do Tran , Minh-Tuan Huynh , Tam V. Nguyen , Minh-Triet Tran , Trung-Nghia Le

The emerging field of panoramic video generation from text and image prompts unlocks new creative possibilities in virtual reality (VR), addressing the limitations of current immersive experiences, which are constrained by pre-designed…

Human-Computer Interaction · Computer Science 2025-01-28 Yunge Wen

Generative art unlocks boundless creative possibilities, yet its full potential remains untapped due to the technical expertise required for advanced architectural concepts and computational workflows. To bridge this gap, we present…

Computer Vision and Pattern Recognition · Computer Science 2025-09-11 Duc-Hung Nguyen , Huu-Phuc Huynh , Minh-Triet Tran , Trung-Nghia Le

Generative AI, such as image generation models and large language models, stands to provide tremendous value to end-user programmers in creative and knowledge workflows. Current research methods struggle to engage end-users in a realistic…

Human-Computer Interaction · Computer Science 2023-12-29 Advait Sarkar , Ian Drosos , Rob Deline , Andrew D. Gordon , Carina Negreanu , Sean Rintel , Jack Williams , Benjamin Zorn

Recent advances in large language models (LLMs) have significantly improved language-driven 3D content generation, but most existing approaches still treat scene generation and user interaction as separate processes, limiting the…

Computer Vision and Pattern Recognition · Computer Science 2026-05-08 Anh H. Vo , Sungyo Lee , Phil-Joong Kim , Soo-Mi Choi , Yong-Guk Kim

Sound plays a significant role in human memory, yet it is often overlooked by mainstream life-recording methods. Most current UGC (User-Generated Content) creation tools emphasize visual content while lacking user-friendly sound design…

Human-Computer Interaction · Computer Science 2024-10-11 Chongjun Zhong , Jiaxing Yu , Yingping Cao , Songruoyao Wu , Wenqi Wu , Kejun Zhang

AI is growing increasingly capable of automatically generating user interfaces (GenUI) from user prompts. However, designing GenUI applications that enable users to discover diverse customizations while preserving GenUI's expressiveness…

Human-Computer Interaction · Computer Science 2026-01-27 Bryan Min , Peiling Jiang , Zhicheng Huang , Haijun Xia

Designing high-quality indoor 3D scenes is important in many practical applications, such as room planning or game development. Conventionally, this has been a time-consuming process which requires both artistic skill and familiarity with…

Computer Vision and Pattern Recognition · Computer Science 2024-07-31 Başak Melis Öcal , Maxim Tatarchenko , Sezer Karaoglu , Theo Gevers