Alias-free 4D Gaussian Splatting
This addresses a specific problem in real-time rendering for dynamic scenes, offering an incremental improvement over existing Gaussian Splatting methods.
The paper tackles artifacts in dynamic scene reconstruction with Gaussian Splatting when adjusting rendering resolution, by deriving a maximum sampling frequency formulation and introducing a 4D scale-adaptive filter and scale loss to eliminate high-frequency artifacts and reduce redundant Gaussians.
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/