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IDDR-NGP: Incorporating Detectors for Distractor Removal with Instant Neural Radiance Field

ArXivSource

Xianliang Huang, Jiajie Gou, Shuhang Chen, Zhizhou Zhong, Jihong Guan, Shuigeng Zhou

cs.CV
cs.AI
|
Jan 16, 2026
1,762 views

One-line Summary

IDDR-NGP is a novel method that efficiently removes a variety of 3D scene distractors using a combination of 3D representations and 2D detectors, outperforming existing solutions in versatility and robustness.

Plain-language Overview

The paper introduces IDDR-NGP, a new method for cleaning up 3D scenes by removing unwanted elements like snowflakes or confetti. Unlike existing methods that focus on specific types of distractions, IDDR-NGP can handle a wide range of them by using a combination of 3D scene modeling and 2D image detection. The approach has been tested on both synthetic and real-world distractions and shows promising results in restoring high-quality 3D scenes. This makes it a versatile tool for improving the clarity and quality of 3D visualizations.

Technical Details