解决4D高斯点阵渲染中的伪影问题，实现无模糊的高清动态场景重建。
Alias-free 4D Gaussian Splatting
- 提出自适应4D滤波器与尺度损失，动态调节采样频率。
- 在多视角视频重建中减少冗余点，消除高频伪影。
- 适合需要高质量动态场景重建的研究者与开发者。
基于高斯点阵的动态场景重建方法虽能实时渲染并生成逼真图像，但在调整相机焦距或高斯点与相机距离以改变渲染分辨率时，常因4D高斯的频率限制及2D膨胀滤波器导致的尺度不匹配而引入明显伪影。为此，本文推导出4D高斯点阵的最大采样频率公式，提出4D尺度自适应滤波器与尺度损失，灵活调控采样频率。所提方法在提升渲染频率时有效消除高频伪影，并在多视角视频重建中显著减少冗余高斯点。通过单目与多视角视频重建实验验证了方法的有效性。
原文摘要 · Abstract (English)
Existing dynamic scene reconstruction methods based on Gaussian Splatting enable real-time rendering and generate realistic images. However, adjusting the camera's focal length or the distance between Gaussian primitives and the camera to modify rendering resolution often introduces strong artifacts, stemming from the frequency constraints of 4D Gaussians and Gaussian scale mismatch induced by the 2D dilated filter. To address this, we derive a maximum sampling frequency formulation for 4D Gaussian Splatting and introduce a 4D scale-adaptive filter and scale loss, which flexibly regulates the sampling frequency of 4D Gaussian Splatting. Our approach eliminates high-frequency artifacts under increased rendering frequencies while effectively reducing redundant Gaussians in multi-view video reconstruction. We validate the proposed method through monocular and multi-view video reconstruction experiments.Ours project page: https://4d-alias-free.github.io/4D-Alias-free/
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