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New NumGrad-Pull Method Enhances 3D Surface Reconstruction

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method called NumGrad-Pull for reconstructing continuous surfaces from unoriented and unordered 3D point clouds. This approach utilizes a tri-plane representation to accelerate the learning of signed distance functions and improve the detail fidelity of surface reconstructions. To enhance training stability, the method incorporates numerical gradients instead of traditional analytical computations, along with a progressive plane expansion strategy for faster convergence and a data sampling strategy to reduce reconstruction artifacts. AI

RANK_REASON The cluster contains a research paper detailing a new method for surface reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New NumGrad-Pull Method Enhances 3D Surface Reconstruction

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The cluster contains a research paper detailing a new method for surface reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Ruikai Cui, Binzhu Xie, Shi Qiu, Jiawei Liu, Saeed Anwar, Nick Barnes ·

    NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds

    arXiv:2411.17392v3 Announce Type: replace Abstract: Reconstructing continuous surfaces from unoriented and unordered 3D points is a fundamental challenge in computer vision and graphics. Recent advancements address this problem by training neural signed distance functions to pull…

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