3D Gaussian Splatting (3DGS) has attracted significant attention for its potential to
revolutionize 3D representation, rendering, and interaction. Despite the rapid growth of …

Abstract 3D Gaussian Splatting (3DGS) has shown remarkable success in synthesizing
novel views given multiple views of a static scene. Yet, 3DGS faces challenges when …

Sim2Real transfer, particularly for manipulation policies relying on RGB images, remains a
critical challenge in robotics due to the significant domain shift between synthetic and real …

4D Gaussian Splatting (4DGS) has recently emerged as a promising technique for capturing
complex dynamic 3D scenes with high fidelity. It utilizes a 4D Gaussian representation and a …

Recent 4D reconstruction methods have yielded impressive results but rely on sharp videos
as supervision. However, motion blur often occurs in videos due to camera shake and object …

3D Gaussian Splatting (3DGS) has attracted great attention in novel view synthesis because
of its superior rendering efficiency and high fidelity. However, the trained Gaussians suffer …

The recent development of 3D Gaussian Splatting (3DGS) has led to great interest in 4D
dynamic spatial reconstruction from multi-view visual inputs. While existing approaches …

Dynamic scene reconstruction is a long-term challenge in 3D vision. Recent methods extend
3D Gaussian Splatting to dynamic scenes via additional deformation fields and apply explicit …

Existing 4D Gaussian methods for dynamic scene reconstruction offer high visual fidelity and
fast rendering. However, these methods suffer from excessive memory and storage …

3D Gaussian Splatting (3D-GS) enables real-time rendering but struggles with fast motion
due to low temporal resolution of RGB cameras. To address this, we introduce the first …