mlsanityData to 7 Oct 2026

Reversible Harmonic Maps between Discrete Surfaces

arXiv 1801.02453 ↗First posted 8 Jan 2018cs.GRcited by 19

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Abstract (arXiv)

Information transfer between triangle meshes is of great importance in computer graphics and geometry processing. To facilitate this process, a smooth and accurate map is typically required between the two meshes. While such maps can sometimes be computed between nearly-isometric meshes, the more general case of meshes with diverse geometries remains challenging. We propose a novel approach for direct map computation between triangle meshes without mapping to an intermediate domain, which optimizes for the harmonicity and reversibility of the forward and backward maps. Our method is general both in the information it can receive as input, e.g. point landmarks, a dense map or a functional map, and in the diversity of the geometries to which it can be applied. We demonstrate that our maps exhibit lower conformal distortion than the state-of-the-art, while succeeding in correctly mapping key features of the input shapes.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jan 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 3; 2023: 2; 2024: 3; 2025: 3; 2026: 4.

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  1. 2023Unsupervised Learning of Robust Spectral Shape Matchingcited by 57
  2. 2022Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimizationcited by 37
  3. 2024Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolationcited by 26
  4. 2025Denoising Functional Maps: Diffusion Models for Shape Correspondencecited by 14
  5. 2024SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimationcited by 12
  6. 2022Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted Basescited by 8
  7. 2023Revisiting Map Relations for Unsupervised Non-Rigid Shape Matchingcited by 8
  8. 2021Intuitive Shape Editing in Latent Spacecited by 7
  9. 2024Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matchingcited by 7
  10. 2021Mesh Draping: Parametrization-Free Neural Mesh Transfercited by 4
  11. 2021Volumetric Parameterization of the Placenta to a Flattened Templatecited by 4
  12. 2025FRIDU: Functional Map Refinement with Guided Image Diffusioncited by 4
7 more
  1. 2026Non-Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunitiescited by 4
  2. 2025Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Modelscited by 3
  3. 2022Symmetric Volume Maps: Order-Invariant Volumetric Mesh Correspondence with Free Boundarycited by 2
  4. 2026Hyper-Network Neural Functional Maps for Unsupervised Robust 3D Shape Matchingcited by 1
  5. 2021DPC: Unsupervised Deep Point Correspondence via Cross and Self Constructioncited by 0
  6. 2026RealSkin: Spatio-Spectral Partial Neural Adjoint Maps for Image-to-3D Attribute Transfercited by 0
  7. 2026MDND: Unsupervised Learning Guided by Non-Differentiable Refinement for Shape Correspondencecited by 0