PDF-GS: Progressive Distractor Filtering for Robust 3D Gaussian Splatting
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 [Findings], 2026
The paper introduces a progressive distractor filtering strategy that enhances robustness of 3D Gaussian splatting pipelines, maintaining reconstruction quality when faced with challenging or noisy inputs.
Recommended citation: Kangmin Seo, MinKyu Lee, Tae-Young Kim, ByeongCheol Lee, JoonSeoung An, and Jae-Pil Heo. "PDF-GS: Progressive Distractor Filtering for Robust 3D Gaussian Splatting." In CVPR 2026 (Findings).
