CVNov 22, 2017

A Face Fairness Framework for 3D Meshes

arXiv:1711.08155v1
Originality Synthesis-oriented
AI Analysis

This work addresses mesh quality issues in 3D graphics, but it appears incremental as it builds on existing restoration tasks.

The paper tackles the problem of preserving regular face shapes in 3D mesh restoration by introducing a fairness framework, achieving improvements in mesh-denoising and mesh-refinement tasks over existing methods.

In this paper, we present a face fairness framework for 3D meshes that preserves the regular shape of faces and is applicable to a variety of 3D mesh restoration tasks. Specifically, we present a number of desirable properties for any mesh restoration method and show that our framework satisfies them. We then apply our framework to two different tasks --- mesh-denoising and mesh-refinement, and present comparative results for these two tasks showing improvement over other relevant methods in the literature.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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