Multi-Step Deformable Gaussian Splatting for Dynamic Scene Rendering
Jiaheng Hu, Zhizhong Zhang, Jingyu Gong, Lizhuang Ma, Xin Tan, Yuan Xie
Abstract
Reconstructing dynamic scenes has long been a challenging task in 3D vision. Previous mainstream methods based on 3D Gaussian Splatting typically employ a single deformation field to directly model spatiotemporal changes. However, such one-step deformation struggles to capture diverse and complex motion patterns. To address this limitation, we propose decomposing the one-step deformation into a multi-step process, where each step is represented by a deformation layer. Additionally, we introduce a weight prediction mechanism for each layer to control the extent of deformation at every step. We provide two types of deformation layers based on implicit and explicit approaches. Moreover, while the deformation layer is time-conditioned, the Gaussians
BibTeX
@inproceedings{aaai2026_multistepdeforma,
title = {Multi-Step Deformable Gaussian Splatting for Dynamic Scene Rendering},
author = {Jiaheng Hu and Zhizhong Zhang and Jingyu Gong and Lizhuang Ma and Xin Tan and Yuan Xie},
booktitle = {AAAI 2026},
year = {2026}
}