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This paper proposes a method for fast scene radiance field reconstructionwith strong novel view synthesis performance and convenient scene editingfunctionality. The key idea is to fully utilize semantic parsing and primitiveextraction for constraining and accelerating the radiance field reconstructionprocess. To fulfill this goal, a primitive-aware hybrid rendering strategy wasproposed to enjoy the best of both volumetric and primitive rendering. Wefurther contribute a reconstruction pipeline conducts primitive parsing andradiance field learning iteratively for each input frame which successfullyfuses semantic, primitive, and radiance information into a single framework.Extensive evaluations demonstrate the fast reconstruction ability, highrendering quality, and convenient editing functionality of our method.

PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis