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DMesh++: An Efficient Differentiable Mesh for Complex Shapes

Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou

2025Year
3Citations
2Top-tier citations

Abstract

Point Cloud Recon. (b) 3D Point Cloud Recon. (b) 3D Multi View Recon.

Figure 1. DMesh++ for complex 2D and 3D shapes. DMesh++ encodes all geometric and topological information into continuous point features. (a) By optimizing these point features, DMesh++ is able to reconstruct complex 2D drawings from sample points. (b) This approach is also applicable to 3D, where it reconstructs the complex geometric structure of DNA from a point cloud. (c) By incorporating additional color features, DMesh++ can reconstruct complex, colored 3D shapes from multi-view images. For each result, the "imaginary" part is rendered in gray, while the "real" part-which defines the final mesh-is rendered in other colors. (Sec. 3.1).

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