Buchumschlag

Scene-Aware Urban Design: A Human-AI Recommendation Framework Using Co-Occurrence Embeddings and Vision-Language Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Gallardo, Rodrigo, Fishman, Oz, Kyaw, Alexander Htet
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computer Vision and Pattern Recognition Human-Computer Interaction
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Insights Informed Generative AI for Design: Incorporating Real-world Data for Text-to-Image Output
von: Gupta, Richa, et al.
Veröffentlicht: (2025)

AR Glulam: Accurate Augmented Reality Using Multiple Fiducial Markers for Glulam Fabrication
von: Kyaw, Alexander Htet, et al.
Veröffentlicht: (2025)

Making Physical Objects with Generative AI and Robotic Assembly: Considering Fabrication Constraints, Sustainability, Time, Functionality, and Accessibility
von: Kyaw, Alexander Htet, et al.
Veröffentlicht: (2025)

Node-Based Editing for Multimodal Generation of Text, Audio, Image, and Video
von: Kyaw, Alexander Htet, et al.
Veröffentlicht: (2025)

Co-Designing Digital Humans for Online Learning: A Framework for Human-AI Pedagogical Integration
von: Lei, Xiaokang, et al.
Veröffentlicht: (2026)

Toward Needs-Conscious Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication
von: Wolfe, Robert, et al.
Veröffentlicht: (2025)

Interaction Design for Human-AI Choreography Co-creation
von: Liu, Yimeng
Veröffentlicht: (2024)

AI Assisted AR Assembly: Object Recognition and Computer Vision for Augmented Reality Assisted Assembly
von: Kyaw, Alexander Htet, et al.
Veröffentlicht: (2025)

Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Design
von: Zhou, Jiayi, et al.
Veröffentlicht: (2024)

UrbanClipAtlas: A Visual Analytics Framework for Event and Scene Retrieval in Urban Videos
von: Perca, Joel, et al.
Veröffentlicht: (2026)

An Exploratory Study on How AI Awareness Impacts Human-AI Design Collaboration
von: Cheng, Zhuoyi, et al.
Veröffentlicht: (2025)

CoDesignAI: An AI-Enabled Multi-Agent, Multi-User System for Collaborative Urban Design at the Conceptual Stage
von: Zhang, Zhaoxi, et al.
Veröffentlicht: (2026)

Text to Robotic Assembly of Multi Component Objects using 3D Generative AI and Vision Language Models
von: Kyaw, Alexander Htet, et al.
Veröffentlicht: (2025)

Interaction-Required Suggestions for Control, Ownership, and Awareness in Human-AI Co-Writing
von: Arnold, Kenneth C., et al.
Veröffentlicht: (2025)

Gesture Recognition for Feedback Based Mixed Reality and Robotic Fabrication: A Case Study of the UnLog Tower
von: Kyaw, Alexander Htet, et al.
Veröffentlicht: (2024)

Design Considerations for Human Oversight of AI: Insights from Co-Design Workshops and Work Design Theory
von: Faas, Cedric, et al.
Veröffentlicht: (2025)

The Turn to Practice in Design Ethics: Characteristics and Future Research Directions for HCI Research
von: Öz, Gizem, et al.
Veröffentlicht: (2025)

Human-AI Collaboration and Explainability for 2D/3D Registration Quality Assurance
von: Cho, Sue Min, et al.
Veröffentlicht: (2025)

The Experience of Running: Recommending Routes Using Sensory Mapping in Urban Environments
von: Hänsel, Katrin, et al.
Veröffentlicht: (2025)

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems
von: Liu, Zhangqi
Veröffentlicht: (2025)

Toward a Unified Framework for Collaborative Design of Human-AI Interaction
von: Bhatt, Ankur, et al.
Veröffentlicht: (2026)

VFA: Vision Frequency Analysis of Foundation Models and Human
von: Darvishi-Bayazi, Mohammad-Javad, et al.
Veröffentlicht: (2024)

Human-Centered Design Recommendations for LLM-as-a-Judge
von: Pan, Qian, et al.
Veröffentlicht: (2024)

Scene-Aware Conversational ADAS with Generative AI for Real-Time Driver Assistance
von: Han, Kyungtae, et al.
Veröffentlicht: (2025)

Advancing the Understanding and Evaluation of AR-Generated Scenes: When Vision-Language Models Shine and Stumble
von: Duan, Lin, et al.
Veröffentlicht: (2025)

CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Models
von: Verma, Arnav, et al.
Veröffentlicht: (2025)

Vision Language Models as Values Detectors
von: Abbo, Giulio Antonio, et al.
Veröffentlicht: (2025)

Behavior-Aware Anthropometric Scene Generation for Human-Usable 3D Layouts
von: Jin, Semin, et al.
Veröffentlicht: (2026)

Do Vision Language Models Understand Human Engagement in Games?
von: Wang, Ziyi, et al.
Veröffentlicht: (2026)

ColorGPT: Leveraging Large Language Models for Multimodal Color Recommendation
von: Xia, Ding, et al.
Veröffentlicht: (2025)

VisionCAD: An Integration-Free Radiology Copilot Framework
von: Li, Jiaming, et al.
Veröffentlicht: (2025)

Modeling Subjective Urban Perception with Human Gaze
von: Che, Lin, et al.
Veröffentlicht: (2026)

Machine Vision-Based Surgical Lighting System:Design and Implementation
von: Gharghabi, Amir, et al.
Veröffentlicht: (2025)

TraitSpaces: Towards Interpretable Visual Creativity for Human-AI Co-Creation
von: Luthra, Prerna
Veröffentlicht: (2025)

Queryable 3D Scene Representation: A Multi-Modal Framework for Semantic Reasoning and Robotic Task Planning
von: Li, Xun, et al.
Veröffentlicht: (2025)

Context-Awareness and Interpretability of Rare Occurrences for Discovery and Formalization of Critical Failure Modes
von: Polavaram, Sridevi, et al.
Veröffentlicht: (2025)

Scene Awareness While Using Multiple Navigation Aids in AR Search
von: Kumaran, Radha, et al.
Veröffentlicht: (2025)

NeuroSwift: A Lightweight Cross-Subject Framework for fMRI Visual Reconstruction of Complex Scenes
von: Zhang, Shiyi, et al.
Veröffentlicht: (2025)

Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
von: Liu, Houjiang, et al.
Veröffentlicht: (2023)

Toward Scalable Co-located Practical Learning: Assisting with Computer Vision and Multimodal Analytics
von: Li, Xinyu, et al.
Veröffentlicht: (2026)