3DGS-HPC: Distractor-free 3D Gaussian Splatting with Hybrid Patch-wise Classification

ArXi:2603.07587v1 Announce Type: new 3D Gaussian Splatting (3DGS) has nstrated remarkable performance in novel view synthesis and 3D scene reconstruction, yet its quality often degrades in real-world environments due to transient distractors, such as moving objects and varying shadows. Existing methods commonly rely on semantic cues extracted from pre-trained vision models to identify and suppress these distractors, but such semantics are misaligned with the binary distinction between static and transient regions and remain fragile under the appearance perturbations.