PDF-GS progressively filters distractors in 3D Gaussian Splatting by exploiting the method's self-suppression of inconsistent signals, yielding high-fidelity distractor-free 3D models without changing the base architecture or adding inference cost.
Robustnerf: Ig- noring distractors with robust losses
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PDF-GS: Progressive Distractor Filtering for Robust 3D Gaussian Splatting
PDF-GS progressively filters distractors in 3D Gaussian Splatting by exploiting the method's self-suppression of inconsistent signals, yielding high-fidelity distractor-free 3D models without changing the base architecture or adding inference cost.