
Mia Tang
Master's Student,
Computer Science Department
Stanford University
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.
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

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
- 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
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˶)
