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Neural radiance fields enable photorealistic 3D scene representation but lack semantic understanding for object-level segmentation in complex indoor environments. This work addresses 3D object segmentation challenges in indoor scenes by integrating 3D Gaussian Splatting with 2D segmentation masks. I analyze existing segmentation methods across visual quality, accuracy, and efficiency dimensions, t
