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3D Geometry-aware Deformable Gaussian Splatting for Dynamic View Synthesis
April 10, 2024, 4:45 a.m. | Zhicheng Lu, Xiang Guo, Le Hui, Tianrui Chen, Min Yang, Xiao Tang, Feng Zhu, Yuchao Dai
cs.CV updates on arXiv.org arxiv.org
Abstract: 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 …
abstract arxiv cs.cv dynamic fields geometry learn nerf neural radiance fields paper scene geometry solutions synthesis type view
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