aiqbench analysis
This paper introduces AdaTex4D, a method that optimizes texture storage in 4D Gaussian Splatting by dynamically allocating resolution based on visibility and deformation scales rather than using uniform assignments. By packing RGBA triplanes with independent axis growth, the approach cuts texture storage by over half while maintaining reconstruction quality under fixed memory budgets. The technique represents a significant efficiency gain for rendering high-fidelity dynamic scenes in neural radiance fields without sacrificing visual fidelity.
ADATEX4D: adaptive texture capacity allocation for 4D gaussian splatting
arXiv:2609.29963v1 Announce Type: cross 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.
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.
Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)
arXiv:2609.29963 [cs.CV]
(or arXiv:2609.29963v1 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2609.29963 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 217 words
Related coverage

[AINews] not much happened today
Latent Space · Sep 18, 2026
Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting
arXiv · Jun 8, 2026
Adaptive Densification for High-Fidelity and Efficient Sparse Gaussian Splatting in Arbitrary-Scale Super-Resolution
arXiv · Sep 9, 2026
EliGSiR: Continual RGB-D Mapping with Gaussian Splatting under Bounded Compute
arXiv · Sep 18, 2026