May 6, 2024 · In this paper, we propose a method for learning UDFs that improves the fidelity of the obtained Neural UDF to the original 3D surface.

More precisely, we show that sampling more training points around surface edges allows better local accuracy of the trained Neural UDF, and thus improves the ...

May 6, 2024 · A method for learning UDFs that improves the fidelity of the obtained Neural UDF to the original 3D surface and improves the global ...

The paper proposes a method for learning Unsigned Distance Functions (UDFs) that improves the fidelity of the obtained Neural UDF to the original 3D surface ...

May 6, 2024 · The training process samples more points around the detected edges, forcing the Neural UDF to focus on modeling these important surface details.

Statistical Edge Detection And UDF Learning For Shape Representation. Virgile Foy, Fabrice Gamboa, Reda Chhaibi. 2024, arXiv.org. PDF · S2 logo Semantic Scholar ...

Mar 12, 2024 · In this paper, we propose a method for learning UDFs that improves the fidelity of the obtained Neural UDF to the original 3D surface. Edge ...

In the field of computer vision, the numerical encoding of 3D surfaces is crucial. It is classical to represent surfaces with their Signed Distance ...

In this paper, we propose a method for learning UDFs that improves the fidelity of the obtained Neural UDF to the original 3D surface. Edge Detection ...

本文提出了一种学习UDFs的方法，提高了所得到的神经UDF对原始三维表面的保真度。我们的方法的关键思想是将神经UDF的学习重点集中在表面边缘上。更具体地说，我们展示了在表面 ...