Mia Tang

Mia Tang

Master's Student,
Computer Science Department
Stanford University

I am an incoming CS Ph.D. student at Stanford University. I have been fortunate to work closely with Professor Maneesh Agrawala. During my Master’s at Stanford, I have also had the privilege of being part of the Stanford Vision and Learning Lab. Previously, I earned my Bachelor of Computer Science and Arts at Carnegie Mellon University, where I was grateful to be advised by Professor Jun-Yan Zhu on generative systems and Professor Kyuha Shim on computational design.

My research explores the intersection of computer graphics, vision, and AI, with a focus on developing interactive, controllable AI systems for visual expression by aligning machine capabilities with natural creative processes.

Email: miatang at cs.stanford.edu

Links: Google Scholar |

Office: Stanford CoDa Building Room E368

August 2025 SIGGRAPH Updates

  • We're organizing the workshop Drawing & Sketching: Art, Psychology, and Computer Graphics on Sunday, August 10th. Come explore the world of drawing with us, where we'll dive into how humans and machines can sketch, create, and collaborate together. ◡̈
  • We're teaching a hands-on lab course Introduction To Generative Machine Learning on Tuesday, August 12th. Join us for a fun, interactive introductory lesson to Generative AI models like Transformers, Diffusion, NeRFs and their application to Computer Graphics.
  • Our paper InkLayer has been accepted to SIGGRAPH 2025 💜. Join our paper session on Wednesday, August 13th. Come see how InkLayer automatically turns your sketches into editable layers—making sketch editing effortless!

Publications

Instance Segmentation of Scene Sketches Using Natural Image Priors

ACM SIGGRAPH 2025

Instance Segmentation of Scene Sketches Using Natural Image Priors

Mia Tang / Yael Vinker / Chuan Yan / Lvmin Zhang / Maneesh Agrawala

Transform your complex raster scene sketch into individual, complete object layers.

Project PagearXivCodeDataset

CRAFT: Designing Creative and Functional 3D Objects

WACV 2025

CRAFT: Designing Creative and Functional 3D Objects

Michelle Guo* / Mia Tang* / Hannah Cha / Ruohan Zhang / C. Karen Liu / Jiajun Wu

Generate fabricate-able, customizable, and creative everyday objects.

Project PagearXiv

Block and Detail: Scaffolding Sketch-to-Image Generation

UIST 2024

Block and Detail: Scaffolding Sketch-to-Image Generation

Vishnu Sarukkai / Lu Yuan* / Mia Tang* / Maneesh Agrawala / Kayvon Fatahalian

A novel sketch-to-image tool that aligns with the iterative refinement process of artists.

Project PagearXivCode

Content-Based Search for Deep Generative Models

SIGGRAPH Asia 2023

Content-Based Search for Deep Generative Models

Daohan Lu* / Sheng-Yu Wang* / Nupur Kumari* / Rohan Agarwal* / Mia Tang / David Bau / Jun-Yan Zhu

A search algorithm for customized and pre-trained deep generative models.

Project PagearXivCode

Research & Development Experiences

With a background in traditional graphic design, I'm passionate about bridging research and product by crafting user-facing applications powered by cutting-edge technologies.

[May - December 2023]
Adobe experience

Adobe

Research Engineer Intern

[May - August 2022]
Cesium experience

Cesium

Software Developer Intern

[May - August 2021]
Jam3 experience

Jam3

Developer Intern

[Sep 2021 - May 2022]
Computational Creativity Lab (CCL) experience

Computational Creativity Lab (CCL)

Research Assistant

[Sep 2021 - Mar 2022 ]
Lunar Gala experience

Lunar Gala

Co-Head of Web

[January - August 2021]
CMU School of Design experience

CMU School of Design

Web Designer & Developer

[Jan 2020 - May 2021]
IRIS experience

IRIS

Frontend Engineer

Educational Comics

Turning complex ideas into playful, approachable visuals is a challenge that continues to inspire me. As a comic artist, that exploration takes shape through educational illustrations on technical topics. In my free time, I also volunteer as a math tutor for preschoolers at local schools in Palo Alto.

Educational Comics Collection
*Click on individual topics for the specific set of comics.

          Recent News

          • June 2025 - We organized a CVPR Workshop on AI for Creative Visual Content Generation and Editing.
          • April 2025 - I received the Stanford School of Engineering Fellowship as an incoming Ph.D. student. ٩(^‿^)۶ 💛
          • April 2025 - I am giving a talk at Stanford Graphics Café on 04/24. Come join us.

          Conference Involvements

          • Workshop: AI for Creative Visual Content Generation Editing and Understanding (CVPR '25)Webpage

          • Course: Introduction to Generative Machine Learning (SIGGRAPH '23 & '24, SIGGRAPH Asia '23)Notes

          • Course: Generative Models for Visual Content Creation (SIGGRAPH '24)NotesWebpage

          • Workshop: The Future of Generative Visual Art (CVPR '24)Webpage

          University Teaching

          Stanford University

          Carnegie Mellon University

          Community Engagement

          In my side quests as an artist, I explore ways to connect people through visuals.

          Or sometimes, just for fun. (˶ᵔ ᵕ ᵔ˶)

          Tea Painting
          Father's Tea Set, oil on canvas, 2017