Mingi Lee
I’m a Ph.D. student in the 3D Vision Lab at Seoul National University, advised by Prof. Young Min Kim. My research lies at the intersection of 3D CAD generation and geometric learning, with a focus on bridging functional design and generative modeling. I aim to develop structure-aware, editable CAD systems that are grounded in real-world usability, by integrating geometric reasoning, differentiable physics, and generative models. Beyond research, I love to boulder🧗, ski⛷, snorkel🤿, chill with good music🎶, and wander for any new adventures🗺. Feel free to reach out to me for any kinds of discussions or collaborations from research to a climbing session.🙇♂️
Publications
BrepDiff: Single-stage B-rep Diffusion Model
Mingi Lee*, Dongsu Zhang*, Clément Jambon*, Young Min Kim
SIGGRAPH 2025
BrepDiff is a simple, single-stage diffusion model for generating Boundary Representations (B-reps). It generates B-reps by denoising point-based face samples with a dedicated noise schedule. Unlike multi-stage methods, BrepDiff enables intuitive, editable geometry creation, including completion, merging, and interpolation, while achieving competitive performance on unconditional generation.
