Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting

• URL: http://arxiv.org/abs/2404.03613v5
• Date: Fri, 26 Jul 2024 01:24:23 GMT
• Title: Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting
• Authors: Jeongmin Bae, Seoha Kim, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh,
• Abstract summary: 3D Gaussian Splatting (3DGS) provides fast and high-quality novel view synthesis. It is a natural extension to deform a canonical 3DGS to multiple frames for representing a dynamic scene. Previous works fail to accurately reconstruct complex dynamic scenes.
• Score: 9.90835990611019
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: As 3D Gaussian Splatting (3DGS) provides fast and high-quality novel view synthesis, it is a natural extension to deform a canonical 3DGS to multiple frames for representing a dynamic scene. However, previous works fail to accurately reconstruct complex dynamic scenes. We attribute the failure to the design of the deformation field, which is built as a coordinate-based function. This approach is problematic because 3DGS is a mixture of multiple fields centered at the Gaussians, not just a single coordinate-based framework. To resolve this problem, we define the deformation as a function of per-Gaussian embeddings and temporal embeddings. Moreover, we decompose deformations as coarse and fine deformations to model slow and fast movements, respectively. Also, we introduce a local smoothness regularization for per-Gaussian embedding to improve the details in dynamic regions. Project page: https://jeongminb.github.io/e-d3dgs/

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