Search Results for author: David Munechika

Found 5 papers, 3 papers with code

Mobile Fitting Room: On-device Virtual Try-on via Diffusion Models

no code implementations2 Feb 2024 Justin Blalock, David Munechika, Harsha Karanth, Alec Helbling, Pratham Mehta, Seongmin Lee, Duen Horng Chau

The growing digital landscape of fashion e-commerce calls for interactive and user-friendly interfaces for virtually trying on clothes.

Image Generation Model Compression +1

Wordflow: Social Prompt Engineering for Large Language Models

1 code implementation25 Jan 2024 Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng Chau

To investigate social prompt engineering, we introduce Wordflow, an open-source and social text editor that enables everyday users to easily create, run, share, and discover LLM prompts.

Prompt Engineering

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks

3 code implementations4 May 2023 Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau

Through this study, we identify key design implications and trade-offs, such as leveraging multimodal data in notebooks as well as balancing the degree of visualization-notebook integration.

DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

2 code implementations26 Oct 2022 Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau

With recent advancements in diffusion models, users can generate high-quality images by writing text prompts in natural language.

Misinformation

Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases

no code implementations25 Jun 2022 David Munechika, Zijie J. Wang, Jack Reidy, Josh Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau

Recent research has developed algorithms for effectively identifying intersectional bias in the form of interpretable, underperforming subsets (or slices) of the data.

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