David Munechika

According to our database, David Munechika authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Justin Blalock, David Munechika, Harsha Karanth, Alec Helbling, Pratham Darrpan Mehta, Seongmin Lee, Duen Horng Chau

CoRR, 2024

Wordflow: Social Prompt Engineering for Large Language Models.

Zijie J. Wang, Aishwarya Chakravarthy, David Munechika, Duen Horng Chau

CoRR, 2024

2023

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

Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau

CoRR, 2023

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

Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics.

Zijie J. Wang, David Munechika, Seongmin Lee, Duen Horng Chau

CoRR, 2022

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

David Munechika, Zijie J. Wang, Jack Reidy, Joshua Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022