SemDynReg constructs per-object ID maps from SAM and image features to regularize position, scale, and rotation of top-k Gaussians per object in dynamic 3DGS.
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A variance-aware conditional MLP operating on 3D Gaussians corrects semantic errors from multi-view inconsistent 2D features to produce more accurate and robust 3D semantic Gaussian Splatting.
SceneGraphGrounder builds a persistent 3D scene graph from VLM-inferred relations in 2D views and solves grounding via constrained graph alignment, achieving competitive zero-shot results on ScanRefer with only RGB-D input.
citing papers explorer
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SemDynReg: Semantics-Guided Deformation Regularization for Dynamic 3D Gaussian Splatting
SemDynReg constructs per-object ID maps from SAM and image features to regularize position, scale, and rotation of top-k Gaussians per object in dynamic 3DGS.
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NRGS: Neural Regularization for Robust 3D Semantic Gaussian Splatting
A variance-aware conditional MLP operating on 3D Gaussians corrects semantic errors from multi-view inconsistent 2D features to produce more accurate and robust 3D semantic Gaussian Splatting.
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SceneGraphGrounder: Zero-Shot 3D Visual Grounding via Structured Scene Graph Matching
SceneGraphGrounder builds a persistent 3D scene graph from VLM-inferred relations in 2D views and solves grounding via constrained graph alignment, achieving competitive zero-shot results on ScanRefer with only RGB-D input.