Disentangled 4D Gaussian Splatting: Rendering High-Resolution Dynamic World at 343 FPS

• URL: http://arxiv.org/abs/2503.22159v3
• Date: Thu, 30 Oct 2025 10:00:04 GMT
• Title: Disentangled 4D Gaussian Splatting: Rendering High-Resolution Dynamic World at 343 FPS
• Authors: Hao Feng, Hao Sun, Wei Xie, Zhi Zuo, Zhengzhe Liu,
• Abstract summary: We introduce Disentangled 4D Gaussian Splatting (Disentangled4DGS), a novel representation and rendering pipeline.<n>Disentangled4DGS decouples the temporal and spatial components of 4D Gaussians, avoiding the need for slicing first and four-dimensional matrix calculations.<n>Our approach sets a new benchmark for dynamic novel view synthesis, outperforming existing methods on both multi-view and monocular dynamic scene datasets.
• Score: 19.325184656153727
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: While dynamic novel view synthesis from 2D videos has seen progress, achieving efficient reconstruction and rendering of dynamic scenes remains a challenging task. In this paper, we introduce Disentangled 4D Gaussian Splatting (Disentangled4DGS), a novel representation and rendering pipeline that achieves real-time performance without compromising visual fidelity. Disentangled4DGS decouples the temporal and spatial components of 4D Gaussians, avoiding the need for slicing first and four-dimensional matrix calculations in prior methods. By projecting temporal and spatial deformations into dynamic 2D Gaussians and deferring temporal processing, we minimize redundant computations of 4DGS. Our approach also features a gradient-guided flow loss and temporal splitting strategy to reduce artifacts. Experiments demonstrate a significant improvement in rendering speed and quality, achieving 343 FPS when render 1352*1014 resolution images on a single RTX3090 while reducing storage requirements by at least 4.5%. Our approach sets a new benchmark for dynamic novel view synthesis, outperforming existing methods on both multi-view and monocular dynamic scene datasets.

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