33 citations · 63 across the 10 of their papers we have counts for
10 papers
fog: Expressing Motion and Emotion through Function Composition of AI-Generated Code
Vivian Liu, Lydia Chilton
Motion and emotion are core parts of intelligent, expressive behavior. In this paper, we introduce fog, a function composition framework for implementing and compose motion functio…
DIDUP: Dynamic Iterative Development for UI Prototyping
Jenny Ma, Karthik Sreedhar, Vivian Liu +3
Large language models (LLMs) are remarkably good at writing code. A particularly valuable case of human-LLM collaboration is code-based UI prototyping, a method for creating intera…
LogoMotion: Visually-Grounded Code Synthesis for Creating and Editing Animation
Vivian Liu, Rubaiat Habib Kazi, Li-Yi Wei +4
Creating animation takes time, effort, and technical expertise. To help novices with animation, we present LogoMotion, an AI code generation approach that helps users create semant…
Green AI: Exploring Carbon Footprints, Mitigation Strategies, and Trade Offs in Large Language Model Training
Vivian Liu, Yiqiao Yin
Prominent works in the field of Natural Language Processing have long attempted to create new innovative models by improving upon previous model training approaches, altering model…
Generative Disco: Text-to-Video Generation for Music Visualization
Vivian Liu, Tao Long, Nathan Raw +1
Visuals can enhance our experience of music, owing to the way they can amplify the emotions and messages conveyed within it. However, creating music visualization is a complex, tim…
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language
Aditya Sanghi, Rao Fu, Vivian Liu +5
Recent works have demonstrated that natural language can be used to generate and edit 3D shapes. However, these methods generate shapes with limited fidelity and diversity. We intr…
3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows
Vivian Liu, Jo Vermeulen, George Fitzmaurice +1
Text-to-image AI are capable of generating novel images for inspiration, but their applications for 3D design workflows and how designers can build 3D models using AI-provided insp…
Opal: Multimodal Image Generation for News Illustration
Vivian Liu, Han Qiao, Lydia Chilton
Advances in multimodal AI have presented people with powerful ways to create images from text. Recent work has shown that text-to-image generations are able to represent a broad ra…
Sparks: Inspiration for Science Writing using Language Models
Katy Ilonka Gero, Vivian Liu, Lydia B. Chilton
Large-scale language models are rapidly improving, performing well on a wide variety of tasks with little to no customization. In this work we investigate how language models can s…
Design Guidelines for Prompt Engineering Text-to-Image Generative Models
Vivian Liu, Lydia B. Chilton
Text-to-image generative models are a new and powerful way to generate visual artwork. However, the open-ended nature of text as interaction is double-edged; while users can input…