BrepDiff: Single-Stage B-rep Diffusion Model
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3721238.3730698.pdf
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16.82 MB
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Checksum (MD5)
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Author(s)
Lee, Mingi
Zhang, Dongsu
Jambon, Cl?ment
Kim, Young Min
Date Issued
July 27, 2025
Publisher
ACM|Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers
Citation
Mingi Lee, Dongsu Zhang, Clément Jambon, and Young Min Kim. 2025. BrepDiff: Single-Stage B-rep Diffusion Model. In Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers (SIGGRAPH Conference Papers '25). Association for Computing Machinery, New York, NY, USA, Article 103, 1–11.
Version
Final published version
Abstract
The Boundary Representation (B-rep) is a widely used 3D model representation of most consumer products designed with CAD software. However, its highly irregular and sparse set of relationships poses significant challenges for designing a generative model tailored to B-reps. Existing approaches use multi-stage approaches to satisfy the complex constraints sequentially. As a result, the final geometry cannot incorporate user edits due to the non-deterministic dependencies between cascaded stages. In contrast, we propose BrepDiff, a single-stage diffusion model for B-rep generation. We present a masked UV grid representation consisting of structured point samples from faces, serving as input for a diffusion transformer. By introducing an asynchronous and shifted noise schedule, we improve the training signal, enabling the diffusion model to better capture the distribution of UV grids. The explicitness of our masked UV grid representation enables users to intuitively understand and freely design surface geometry without being constrained by topological validity. The interconnectivity can be derived from the face layout, which is later processed into a valid solid volume during post-processing. Our approach achieves performance on par with state-of-the-art cascaded models while offering complex and diverse manipulations of geometry and topology, such as shape completion, merging, and interpolation.
Description
SIGGRAPH Conference Papers ’25, Vancouver, BC, Canada
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3721238.3730698
