Anti-aliased 3D Gaussian Splatting: Frequency Constraint and Regularization
摘要
Recently, 3D Gaussian Splatting has gained significant attention in the novel view synthesis domain due to its high-quality rendering and computational efficiency. However, when camera views (e.g., focal length, scene depth) vary, the rendered images exhibit aliasing artifacts, including erosion during zoom-in and dilation during zoom-out. The fundamental cause of this phenomenon lies in the fixed-scale 2D dilation filter, which can not adapt to dynamic changes in sampling frequency. To address this issue, a mechanism for adaptive frequency constraint on Gaussians has been proposed, which dynamically adjusts frequency characteristics of Gaussians to match varying sampling requirements. Additionally, based on spectral discrepancies in images, a frequency regularization term is designed to enhance consistency in frequency domain representation. These approaches effectively suppress aliasing artifacts while maintaining rendering efficiency.