DMesh: A Differentiable Mesh Representation
Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou
摘要
We present a differentiable representation, DMesh, for general 3D triangular meshes. DMesh considers both the geometry and connectivity information of a mesh. In our design, we first get a set of convex tetrahedra that compactly tessellates the domain based on Weighted Delaunay Triangulation (WDT), and select triangular faces on the tetrahedra to define the final mesh. We formulate probability of faces to exist on the actual surface in a differentiable manner based on the WDT. This enables DMesh to represent meshes of various topology in a differentiable way, and allows us to reconstruct the mesh under various observations, such as point cloud and multi-view images using gradient-based optimization. The source code and full paper is available at: https://sonsang.github.io/dmesh-project.
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引用它的顶会 Paper6
- MeshSplatting: Differentiable Rendering with Opaque MeshesJan Held, Sanghyun Son, Renaud Vandeghen, Daniel Rebain 等CVPR 2026 · 被引用 25 次
- Inverse 3D Microscopy Rendering for Cell Shape Inference With Active MeshSacha Ichbiah, Anshuman Sinha, Fabrice Delbary, Hervé TurlierICCV 2025 · 被引用 8 次
- MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion TransformerWeiyu Li, Antoine Toisoul, Tom Monnier, Roman Shapovalov 等CVPR 2026 · 被引用 7 次
- DMesh++: An Efficient Differentiable Mesh for Complex ShapesSanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher 等ICCV 2025 · 被引用 3 次
- ExMesh: EXplicit Mesh Reconstruction with Topology AdaptationChuanjin Fan, Lifan Wu, Wenjie Chang, Hanzhi Chang 等CVPR 2026 · 被引用 2 次
它引用的顶会 Paper13
- NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view ReconstructionPeng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt 等NeurIPS 2021 · 被引用 2,500 次
- Neural Sparse Voxel FieldsLingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua 等NeurIPS 2020 · 被引用 1,535 次
- Multiview Neural Surface Reconstruction by Disentangling Geometry and AppearanceLior Yariv, Yoni Kasten, Dror Moran, Meirav Galun 等NeurIPS 2020 · 被引用 1,010 次
- UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View ReconstructionMichael Oechsle, Songyou Peng, Andreas GeigerICCV 2021 · 被引用 885 次
- Soft Rasterizer: A Differentiable Renderer for Image-Based 3D ReasoningShichen Liu, Weikai Chen, Tianye Li, Hao LiICCV 2019 · 被引用 789 次
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