Hello there :)
I am Mia — a master's student in computer science at Stanford University, where I'm 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 work with Professor Jun-Yan Zhu on generative visual systems and Professor Kyuha Shim on computational design.
I am passionate about teaching and express this through my work as a comic artist, developing accessible educational illustrations on technical topics. In my free time, I volunteer as a math tutor for preschool children at local schools in Palo Alto.
Research Interest
My research centers on vision-language models for controllable 2D and 3D generation, with a particular focus on developing algorithms and systems that enhance the creative workflows of designers and artists.
🐰 I currently co-organize Stanford Graphics Cafe Seminar. Subscribe to our mailing list for updates!
📧 You can reach me personally at miatang [at] cs [dot] stanford [dot] edu.
Publication
ShapeCraft: Body-Aware and Semantics-Aware 3D Object Design
WACV 2025 (To Appear)
Block and Detail: Scaffolding Sketch-to-Image Generation
UIST 2024 (To Appear)
Conference Workshop
SIGGRAPH 2024
CVPR 2024
SIGGRAPH Asia 2023
SIGGRAPH 2023
Teaching
Stanford University
CS 248A: Computer Graphics: Rendering, Geometry, and Image Manipulation
Course Assistant for Winter 2024
Stanford University
CS 148: Introduction to Computer Graphics and Imaging
Course Assistant for Fall 2023
Carnegie Mellon University
15-462/662: Computer Graphics
Teaching Assistant for Spring 2022, Fall 2022
Carnegie Mellon University
15-150: Principles of Functional Programming
Teaching Assistant for Spring 2020, Summer 2020