Style4D-Bench: A Benchmark Suite for 4D Stylization

Authors

  • Beiqi Chen Harbin Institute of Technology
  • Shuai Shao Great Bay University
  • Haitang Feng Nanjing University
  • Jianhuang Lai Sun Yat-Sen University
  • Jianlou Si Alibaba Group
  • Guangcong Wang Great Bay University

DOI:

https://doi.org/10.1609/aaai.v40i4.37266

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 strong baseline that make an initial attempt for 4D stylization, 2) a comprehensive evaluation protocol measuring spatial fidelity, temporal coherence, and multi-view consistency through both perceptual and quantitative metrics, 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.

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Published

2026-03-14

How to Cite

Chen, B., Shao, S., Feng, H., Lai, J., Si, J., & Wang, G. (2026). Style4D-Bench: A Benchmark Suite for 4D Stylization. Proceedings of the AAAI Conference on Artificial Intelligence, 40(4), 2769–2777. https://doi.org/10.1609/aaai.v40i4.37266

Issue

Section

AAAI Technical Track on Computer Vision I