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

التفاصيل البيبلوغرافية
العنوان: Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting
المؤلفون: Bae, Jeongmin, Kim, Seoha, Yun, Youngsik, Lee, Hahyun, Bang, Gun, Uh, Youngjung
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition
الوصف: 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/
Comment: ECCV 2024. Project page: https://jeongminb.github.io/e-d3dgs/
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2404.03613
رقم الأكسشن: edsarx.2404.03613
قاعدة البيانات: arXiv