3D Geometry-aware Deformable Gaussian Splatting for Dynamic View Synthesis

Understand

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 deformation in an implicit manner, which cannot incorporate 3D scene geometry.
• Therefore, the learned deformation is not necessarily geometrically coherent, which results in unsatisfactory dynamic view synthesis and 3D dynamic reconstruction.
• Recently, 3D Gaussian Splatting provides a new representation of the 3D scene, building upon which the 3D geometry could be exploited in learning the complex 3D deformation.