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About this paper
Kunal Bhosikar, Preet Savalia, Lokender Tiwari, Brojeshwar Bhowmick
A new method, Feature-Aware Quadric Error Metric (FA-QEM), enables fast and robust simplification of dense, noisy 3D meshes from modern generation techniques while preserving fine geometric details and visual appearance. The approach demonstrated a 100% success rate on the Thingi10K dataset and achieved lower geometric errors and significantly faster runtimes compared to existing state-of-the-art methods.
Key insights
- A multi-objective quadric error metric, jointly considering geometric deviation, boundary curvature, and normal consistency, can effectively balance robustness and fidelity during simplification.
- Decoupling geometric simplification from texture transfer, with a robust history-based mapping, allows for high-quality appearance preservation even after aggressive geometric reduction.
- Integrating specific robustness strategies like normal flip prevention and virtual edge insertion is crucial for handling complex, "in-the-wild" mesh topologies from modern 3D generation.
Summary by alphaXiv.
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