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ข้อมูลเชิงลึก - Neural Signed Distance Function Optimization
복잡한 형상을 위한 뉴럴 부호 거리 함수 최적화를 위한 스크리닝된 포아송 방정식: HOTSPOT
HOTSPOT이라는 새로운 뉴럴 부호 거리 함수(SDF) 최적화 방법은 스크리닝된 포아송 방정식을 활용하여 기존 방법보다 정확하고 안정적인 SDF 생성을 가능하게 한다.
HOTSPOT: Optimizing Neural Signed Distance Functions Using a Screened Poisson Equation
HOTSPOT, a novel method for optimizing neural signed distance functions, leverages a screened Poisson equation to address limitations of existing approaches, achieving superior surface reconstruction and distance approximation, especially for complex geometries.
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