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ADATEX4D: adaptive texture capacity allocation for 4D gaussian splatting
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De Jiang, Peiqiang Wang, Kehong Yuan, Shaohua Ma

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ResearcharXiv cs.CV

ADATEX4D: adaptive texture capacity allocation for 4D gaussian splatting

arXiv:2609.29963v1 Announce Type: new Abstract: Textured Gaussians improve local appearance capacity, but assigning the same texture resolution to every primitive wastes storage on low-detail or weakly visible regions. We introduce AdaTex4D, an adaptive texture-capacity module for deformation-based 4D Gaussian Splatting. Each Gaussian carries packed RGBA triplanes whose two axes grow independently according to visibility normalized screen-space gradients and deformed local scales. Experiments on N3DV and PanopticSports show that AdaTex4D reduces texture storage by more than half while preserving reconstruction quality. Under fixed memory budgets, adaptive allocation also improves quality over uniform texture assignment and reduces overall model and peak memory. These results show that dynamic, anisotropic texture allocation provides a more efficient way to distribute local appearance capacity in 4D Gaussian representations.

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This story was published by arXiv cs.CV and written by De Jiang, Peiqiang Wang, Kehong Yuan, Shaohua Ma. SyncAI.news shows a preview; the complete article is on the publisher's site.

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