AI RESEARCH
BEA-GS: BEyond RAdiance Supervision in 3DGS for Precise Object Extraction
arXiv CS.CV
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ArXi:2605.09662v1 Announce Type: new Most Gaussian Splatting techniques that provide a 3D semantic representation of the scene do not optimize the underlying 3D geometry, making object-level editing or asset extraction challenging. Recent methods, such as COBGS, Trace3D, ObjectGS, acknowledge this limitation and propose approaches that modify the scene's geometry to represent the underlying semantics. We advance this concept further by proposing a novel solution that provides near perfect boundaries in object extraction. We do so by.