title: FreeTimeGS: Free Gaussians at Anytime and Anywhere for Dynamic Scene
    Reconstruction
summary: This paper addresses the challenge of reconstructing dynamic 3D scenes with
  complex motions. Some recent works define 3D Gaussian primitives in the
  canonical space and use deformation fields to map canonical primitives to
  observation spaces, achieving real-time dynamic view synthesis. However, these
  methods often struggle to handle scenes with complex motions due to the
  difficulty of optimizing deformation fields. To overcome this problem, we
  propose FreeTimeGS, a novel 4D representation that allows Gaussian primitives
  to appear at arbitrary time and locations. In contrast to canonical Gaussian
  primitives, our representation possesses the strong flexibility, thus improving
  the ability to model dynamic 3D scenes. In addition, we endow each Gaussian
  primitive with an motion function, allowing it to move to neighboring regions
  over time, which reduces the temporal redundancy. Experiments results on
  several datasets show that the rendering quality of our method outperforms
  recent methods by a large margin.
paper_authors._id: 6842a994497e2b62234145d7
paper_authors.name: Yifan Wang
paper_authors._id: 6842a994497e2b62234145d8
paper_authors.name: Peishan Yang
paper_authors._id: 6842a994497e2b62234145d9
paper_authors.name: Zhen Xu
paper_authors._id: 6842a994497e2b62234145da
paper_authors.name: Jiaming Sun
paper_authors._id: 6842a994497e2b62234145db
paper_authors.name: Zhanhua Zhang
paper_authors._id: 6842a994497e2b62234145dc
paper_authors.name: Yong Chen
paper_authors._id: 6842a994497e2b62234145dd
paper_authors.name: Hujun Bao
paper_authors._id: 6842a994497e2b62234145de
paper_authors.name: Sida Peng
paper_authors._id: 6842a994497e2b62234145df
paper_authors.name: Xiaowei Zhou
paper_title: FreeTimeGS: Free Gaussians at Anytime and Anywhere for Dynamic Scene
    Reconstruction
paper_summary: This paper addresses the challenge of reconstructing dynamic 3D scenes with
  complex motions. Some recent works define 3D Gaussian primitives in the
  canonical space and use deformation fields to map canonical primitives to
  observation spaces, achieving real-time dynamic view synthesis. However, these
  methods often struggle to handle scenes with complex motions due to the
  difficulty of optimizing deformation fields. To overcome this problem, we
  propose FreeTimeGS, a novel 4D representation that allows Gaussian primitives
  to appear at arbitrary time and locations. In contrast to canonical Gaussian
  primitives, our representation possesses the strong flexibility, thus improving
  the ability to model dynamic 3D scenes. In addition, we endow each Gaussian
  primitive with an motion function, allowing it to move to neighboring regions
  over time, which reduces the temporal redundancy. Experiments results on
  several datasets show that the rendering quality of our method outperforms
  recent methods by a large margin.
paper_ai_summary: A novel 4D representation, FreeTimeGS, enhances the modeling of dynamic 3D scenes by enabling Gaussian primitives to appear at arbitrary times and locations, improving rendering quality compared to existing methods.
paper_ai_keywords: 3D Gaussian primitives canonical space deformation fields real-time dynamic view synthesis 4D representation motion function temporal redundancy