
The author proposes AiSDF, a structure-aware online SDF reconstruction framework for indoor scenes under the Atlanta world assumption. By estimating the underlying Atlanta structure and utilizing Atlanta-aware surfels, AiSDF improves reconstruction quality while maintaining structural regularity.


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AiSDF-Structure-aware-Neural-Signed-Distance-Fields-in-Indoor-Scenes


AiSDF: Structure-aware Neural Signed Distance Fields in Indoor Scenes


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提案されたAiSDFは、屋内シーンの構造を考慮したオンラインSDF再構築フレームワークであり、Atlanta構造を推定し、Atlanta-aware surfelsを抽出している。
