activity
20212025
most citedInkspire: Supporting Design Exploration with Generative AI through Analogical Sketching

28 citations · 82 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2025★ 3 cited

BioSpark: Beyond Analogical Inspiration to LLM-augmented Transfer

Hyeonsu Kang, David Chuan-en Lin, Yan-Ying Chen +3

We present BioSpark, a system for analogical innovation designed to act as a creativity partner in reducing the cognitive effort in finding, mapping, and creatively adapting divers…

cs.HC2025★ 28 cited

Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching

David Chuan-En Lin, Hyeonsu B. Kang, Nikolas Martelaro +3

With recent advancements in the capabilities of Text-to-Image (T2I) AI models, product designers have begun experimenting with them in their work. However, T2I models struggle to i…

cs.HC2023★ 2 cited

BioSpark: An End-to-End Generative System for Biological-Analogical Inspirations and Ideation

Hyeonsu B. Kang, David Chuan-En Lin, Nikolas Martelaro +3

Nature is often used to inspire solutions for complex engineering problems, but achieving its full potential is challenging due to difficulties in discovering relevant analogies an…

cs.SD2023

What Do I Hear? Generating Sounds for Visuals with ChatGPT

David Chuan-En Lin, Nikolas Martelaro

This short paper introduces a workflow for generating realistic soundscapes for visual media. In contrast to prior work, which primarily focus on matching sounds for on-screen visu…

cs.HC2023★ 21 cited

Jigsaw: Supporting Designers to Prototype Multimodal Applications by Chaining AI Foundation Models

David Chuan-En Lin, Nikolas Martelaro

Recent advancements in AI foundation models have made it possible for them to be utilized off-the-shelf for creative tasks, including ideating design concepts or generating visual…

cs.CV2022★ 3 cited

Videogenic: Identifying Highlight Moments in Videos with Professional Photographs as a Prior

David Chuan-En Lin, Fabian Caba Heilbron, Joon-Young Lee +2

This paper investigates the challenge of extracting highlight moments from videos. To perform this task, we need to understand what constitutes a highlight for arbitrary video doma…

cs.HC2022★ 6 cited

VideoMap: Supporting Video Editing Exploration, Brainstorming, and Prototyping in the Latent Space

David Chuan-En Lin, Fabian Caba Heilbron, Joon-Young Lee +2

Video editing is a creative and complex endeavor and we believe that there is potential for reimagining a new video editing interface to better support the creative and exploratory…

cs.SD2021★ 12 cited

Soundify: Matching Sound Effects to Video

David Chuan-En Lin, Anastasis Germanidis, Cristóbal Valenzuela +2

In the art of video editing, sound helps add character to an object and immerse the viewer within a space. Through formative interviews with professional editors (N=10), we found t…

cs.CV2021★ 7 cited

Learning Personal Style from Few Examples

David Chuan-En Lin, Nikolas Martelaro

A key task in design work is grasping the client's implicit tastes. Designers often do this based on a set of examples from the client. However, recognizing a common pattern among…