Abstract
We introduce Style4D-Bench, the first benchmark suite specifically designed for 4D stylization, with the goal of standardizing evaluation and facilitating progress in this emerging area. Style4D-Bench comprises: 1) a comprehensive evaluation protocol measuring spatial fidelity, temporal coherence, and multi-view consistency through both perceptual and quantitative metrics, 2) a strong baseline that make an initial attempt for 4D stylization, and 3) a curated collection of high-resolution dynamic 4D scenes with diverse motions and complex backgrounds. To establish a strong baseline, we present Style4D, a novel framework built upon 4D Gaussian Splatting. It consists of three key components: a basic 4DGS scene representation to capture reliable geometry, a Style Gaussian Representation that leverages lightweight per-Gaussian MLPs for temporally and spatially aware appearance control, and a Holistic Geometry-Preserved Style Transfer module designed to enhance spatio-temporal consistency via contrastive coherence learning and structural content preservation. Extensive experiments on Style4D-Bench demonstrate that Style4D achieves state-of-the-art performance in 4D stylization, producing fine-grained stylistic details with stable temporal dynamics and consistent multi-view rendering. We expect Style4D-Bench to become a valuable resource for benchmarking and advancing research in stylized rendering of dynamic 3D scenes. Project page: this https URL . Code: this https URL .
Abstract (translated)
我们介绍了Style4D-Bench，这是首个专门为4D风格化设计的基准测试套件，旨在标准化评估并促进这一新兴领域的进步。Style4D-Bench包括： 1）一个全面的评估协议，通过感知和定量指标衡量空间保真度、时间连贯性和多视角一致性。 2）一个强大的基线模型，首次尝试进行4D风格化。 3）一组经过精心策划的高分辨率动态4D场景集合，包含多样化的运动和复杂背景。 为了建立一个强大的基线，我们提出了Style4D，这是一个基于4D高斯点阵的新框架。它包括三个关键组成部分：基本的4DGS场景表示，用于捕获可靠的几何信息；风格高斯表示，利用轻量级的每高斯MLP实现时间感知和空间感知的外观控制；以及一个整体保持几何结构的风格迁移模块，通过对比连贯性学习和结构性内容保留来增强时空一致性。 在Style4D-Bench上的广泛实验表明，Style4D在4D风格化中实现了最先进的性能，能够产生具有稳定时间动态和一致多视角渲染的细腻风格细节。我们期望Style4D-Bench将成为评估和推进动态3D场景风格化研究的重要资源。 项目页面：[此处插入URL] 代码：[此处插入URL]
URL
https://arxiv.org/abs/2508.19243
