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SurGe model improves 3D reconstruction accuracy with new geometry metrics

By PulseAugur Editorial · [3 sources] ·

Researchers have introduced SurGe, a new model designed to enhance the accuracy of 3D reconstruction from images. SurGe addresses limitations in current methods by improving the estimation of local surface geometry, which is often visually inaccurate despite performing well on standard metrics. The model incorporates a novel point map normal metric and combines a point gradient matching loss with a Neighborhood Attention Decoder (NAD) to achieve better results across various benchmarks. AI

IMPACT Enhances local surface geometry estimation in 3D reconstruction, potentially improving applications relying on precise spatial data.

RANK_REASON This is a research paper detailing a new model and methodology for 3D reconstruction.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

SurGe model improves 3D reconstruction accuracy with new geometry metrics

COVERAGE [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    SurGe: Improved Surface Geometry in Point Maps

    SurGe improves 3D reconstruction accuracy by introducing a point map normal metric and combining point gradient matching loss with Neighborhood Attention Decoder for better local surface geometry estimation.

  2. arXiv cs.CV TIER_1 English(EN) · Karim Knaebel, Gonzalo Martin Garcia, Christian Schmidt, Ilya Fradlin, Lucas Nunes, Daan de Geus, Bastian Leibe ·

    SurGe: Improved Surface Geometry in Point Maps

    arXiv:2605.31577v1 Announce Type: new Abstract: Recent feedforward 3D reconstruction methods predict point maps and estimate global 3D geometry remarkably well. However, their predictions still exhibit inaccurate local surface geometry, which is clearly visible qualitatively but …

  3. arXiv cs.CV TIER_1 English(EN) · Bastian Leibe ·

    SurGe: Improved Surface Geometry in Point Maps

    Recent feedforward 3D reconstruction methods predict point maps and estimate global 3D geometry remarkably well. However, their predictions still exhibit inaccurate local surface geometry, which is clearly visible qualitatively but only weakly reflected in common metrics. To make…

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