Aug 28, 2023 · We propose SuperUDF, a self-supervised UDF learning which exploits a learned geometry prior for efficient training and a novel regularization ...

Learning-based surface reconstruction based on unsigned distance functions (UDF) has many advantages such as handling open surfaces. We propose SuperUDF ...

We propose SuperUDF, a self-supervised. UDF learning which exploits a learned geometry prior for efficient training and a novel regularization for robustness to.

Polyhedral Surface: Self-supervised Point Cloud Reconstruction Based on Polyhedral Surface ... SuperUDF: Self-supervised UDF Estimation for Surface Reconstruction.

SuperUDF: Self-supervised UDF Estimation for Surface Reconstruction ... We propose SuperUDF, a self-supervised UDF learning which exploits a learned geometry ...

SuperUDF: Self-supervised UDF Estimation for Surface Reconstruction. Hui Tian ... We propose SuperUDF, a self-supervised UDF learning which exploits a learned ...

SuperUDF: Self-supervised UDF Estimation for Surface Reconstruction · 1 code ... Surface reconstruction from raw point clouds has been studied for decades in ...

Polyhedral Surface: Self-supervised Point Cloud Reconstruction Based on Polyhedral Surface ... SuperUDF: Self-supervised UDF Estimation for Surface Reconstruction.

Learning-based surface reconstruction based on unsigned distance functions (UDF) has many advantages such as handling open surfaces. We propose SuperUDF, a self ...

Superudf: Self-supervised udf estimation for surface reconstruction. H Tian, C Zhu, Y Shi, K Xu. IEEE Transactions on Visualization and Computer Graphics, 2023.