מושגי ליבה
The author introduces FreGS, a novel technique that addresses the over-reconstruction issue in 3D Gaussian splatting by employing progressive frequency regularization. By minimizing the discrepancy between frequency spectra, FreGS achieves superior Gaussian densification and novel view synthesis.
תקציר
FreGS introduces progressive frequency regularization to mitigate over-reconstruction issues in 3D Gaussian splatting. The method leverages low-to-high frequency components for coarse-to-fine Gaussian densification, improving image quality significantly. Experimental results demonstrate the effectiveness of FreGS in achieving superior novel view synthesis compared to state-of-the-art methods.
Key points:
- Over-reconstruction challenges in 3D-GS during Gaussian densification.
- Introduction of FreGS with progressive frequency regularization.
- Coarse-to-fine Gaussian densification using low-to-high frequency components.
- Experimental results showing superior performance of FreGS in novel view synthesis.
סטטיסטיקה
Experiments show that FreGS achieves superior image rendering quality.
The proposed method outperforms state-of-the-art methods consistently.
Training is conducted on multiple real scenes datasets for evaluation.
ציטוטים
"The proposed FreGS mitigates the over-reconstruction of Gaussian densification and renders images with much less blur and artifact."
"Experiments show that FreGS achieves superior novel view synthesis and outperforms the state-of-the-art consistently."