Mia Tang
Master's Student,
Computer Science Department
Stanford University
I am an incoming CS Ph.D. + current Master's student at Stanford University. I have been fortunate to be advised by Professor Maneesh Agrawala. I have also had the privilege of working at the Stanford Vision and Learning Lab (SVL). Previously, I earned my BCSA (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.
Publications
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.
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.
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.
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.
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.
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.
Recent News
- Upcoming: Our recent work on sketch segmentation has been accepted to SIGGRAPH 2025. See you in Vancouver!
- Upcoming: We are teaching a hands-on lab on generative systems at SIGGRAPH 2025. Details coming soon.
- Upcoming: We are organizing a CVPR Workshop on AI for Creative Visual Content Generation and Editing.
- ✓ I received the Stanford School of Engineering Fellowship as an incoming Ph.D. student.
- ✓ I am giving a talk at Stanford Graphics Café on 04/24/2025. Come join us.
Conference Involvements
- Workshop: AI for Creative Visual Content Generation Editing and Understanding (CVPR '25)
- Course [ Notes] : Introduction to Generative Machine Learning (SIGGRAPH '23, SIGGRAPH ASIA '23, SIGGRAPH '24)
- Course [ Notes] : Generative Models for Visual Content Creation (SIGGRAPH '24)
- Workshop: The Future of Generative Visual Art (CVPR '24)
University Teaching
Stanford 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˶)
