Implicit neural representation has paved the way for new approaches to dynamic scene
reconstruction. Nonetheless cutting-edge dynamic neural rendering methods rely heavily on …

Abstract Recently 3D Gaussian Splatting has demonstrated impressive novel view synthesis
results reaching high fidelity and efficiency. However strong artifacts can be observed when …

3D Gaussian Splatting (3DGS) has recently revolutionized radiance field reconstruction,
achieving high quality novel view synthesis and fast rendering speed. However, 3DGS fails …

Radiance fields have demonstrated impressive performance in synthesizing novel views
from sparse input views yet prevailing methods suffer from high training costs and slow …

Novel view synthesis of dynamic scenes has been an intriguing yet challenging problem.
Despite recent advancements simultaneously achieving high-resolution photorealistic …

Abstract Constructing photo-realistic Free-Viewpoint Videos (FVVs) of dynamic scenes from
multi-view videos remains a challenging endeavor. Despite the remarkable advancements …

Abstract 3D Gaussians have recently emerged as a highly efficient representation for 3D
reconstruction and rendering. Despite its high rendering quality and speed at high …

In this paper we propose a 3D geometry-aware deformable Gaussian Splatting method for
dynamic view synthesis. Existing neural radiance fields (NeRF) based solutions learn the …

Abstract 3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis
results and advancing real-time rendering performance. However, the effectiveness of 3DGS …

Neural radiance fields (NeRFs) have gained popularity in the autonomous driving (AD)
community. Recent methods show NeRFs' potential for closed-loop simulation enabling …