Abstract

Generative models have rapidly pushed content creation be-yond 2D imagery toward dynamic 3D and 4D scene synthesis. Yet pro-ducing realistic and temporally stable 4D content from a single image is still difficult because one view provides limited structural cues and weak motion evidence. We introduce MATE4D, a framework that converts one input image into editable dynamic 4D content. Our method constructs a spatio-temporal multi-view image matrix with text-guided background manipulation, delivering coherent supervision over viewpoint, appear-ance, and motion. These synthesized observations are used to optimize 3D Gaussian primitives, which are then animated through a lightweight deformation module to form a 4D representation. The resulting scenes preserve geometry more faithfully, maintain smoother temporal behavior, and keep background edits more consistent, reducing context ambiguity and motion artifacts. Experiments on Objaverse-XL and Diffusion4D show that MATE4D outperforms strong baselines in visual quality, effi-ciency, and controllability, supporting practical AR/VR content creation.

Keywords

Subject

Publication details

Journal
Not available
Open access
Green open access

Cite this article

APA 7

Chen, X., & Yin, D. (2026). MATE4D: Matrix-Guided Editable 4D Generation from a Single Image. https://omanscience.com/en/articles/mate4d-matrix-guided-editable-4d-generation-from-a-single-image

MLA 9

Chen, Xiaotian, and Dongfu Yin. "MATE4D: Matrix-Guided Editable 4D Generation from a Single Image." https://omanscience.com/en/articles/mate4d-matrix-guided-editable-4d-generation-from-a-single-image.

Chicago (author–date)

Chen, Xiaotian, and Dongfu Yin. 2026. "MATE4D: Matrix-Guided Editable 4D Generation from a Single Image." https://omanscience.com/en/articles/mate4d-matrix-guided-editable-4d-generation-from-a-single-image.

Harvard

Chen, X. and Yin, D. (2026) 'MATE4D: Matrix-Guided Editable 4D Generation from a Single Image', Available at: https://omanscience.com/en/articles/mate4d-matrix-guided-editable-4d-generation-from-a-single-image.

Vancouver

Chen X, Yin D. MATE4D: Matrix-Guided Editable 4D Generation from a Single Image. https://omanscience.com/en/articles/mate4d-matrix-guided-editable-4d-generation-from-a-single-image

IEEE

X. Chen, and D. Yin, "MATE4D: Matrix-Guided Editable 4D Generation from a Single Image," https://omanscience.com/en/articles/mate4d-matrix-guided-editable-4d-generation-from-a-single-image.