6 papers
Dynamic-eDiTor: Training-Free Text-Driven 4D Scene Editing with Multimodal Diffusion Transformer
Dong In Lee, Hyungjun Doh, Seunggeun Chi +3
Recent progress in 4D representations, such as Dynamic NeRF and 4D Gaussian Splatting (4DGS), has enabled dynamic 4D scene reconstruction. However, text-driven 4D scene editing rem…
SketchConcept: Sketching-based Concept Recomposition for Product Design using Generative AI
Runlin Duan, Chenfei Zhu, Yuzhao Chen +4
Conceptual product design requires designers to explore the design space of visual and functional concepts simultaneously. Sketching has long been adopted to empower concept explor…
Canvas3D: Empowering Precise Spatial Control for Image Generation with Constraints from a 3D Virtual Canvas
Runlin Duan, Yuzhao Chen, Rahul Jain +3
Generative AI (GenAI) has significantly advanced the ease and flexibility of image creation. However, it remains a challenge to precisely control spatial compositions, including ob…
DesignFromX: Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products
Runlin Duan, Chenfei Zhu, Yuzhao Chen +3
Industrial products are designed to satisfy the needs of consumers. The rise of generative artificial intelligence (GenAI) enables consumers to easily modify a product by prompting…
Virtual Reality in Manufacturing Education: A Scoping Review Indicating State-of-the-Art, Benefits, and Challenges Across Domains, Levels, and Entities
Ananya Ipsita, Ramesh Kaki, Ziyi Liu +9
To address the shortage of a skilled workforce in the U.S. manufacturing industry, immersive Virtual Reality (VR)-based training solutions hold promising potential. To effectively…
Investigating Creativity in Humans and Generative AI Through Circles Exercises
Runlin Duan, Shao-Kang Hsia, Yuzhao Chen +3
Generative AI (GenAI) is transforming the creativity process. However, as presented in this paper, GenAI encounters "narrow creativity" barriers. We observe that both humans and Ge…