Less Gaussians, Texture More: 4k Feed-Forward Textured Splatting
Abstract
Existing feed-forward 3D Gaussian Splatting methods predict pixel-aligned primitives, leading to a quadratic growth in primitive count as resolution increases. This fundamentally limits their scalability, making high-resolution synthesis such as 4K intractable. We introduce LGTM (Less Gaussians, Texture More), a feed-forward framework that overcomes this resolution scaling barrier. By predicting compact Gaussian primitives coupled with per-primitive textures, LGTM decouples geometric complexity from rendering resolution. This approach enables high-fidelity 4K novel view synthesis without per-scene optimization, a capability previously out of reach for feed-forward methods, all while using significantly fewer Gaussian primitives. Project page: https://yxlao.github.io/lgtm/.
Cite
Text
Lao et al. "Less Gaussians, Texture More: 4k Feed-Forward Textured Splatting." International Conference on Learning Representations, 2026.Markdown
[Lao et al. "Less Gaussians, Texture More: 4k Feed-Forward Textured Splatting." International Conference on Learning Representations, 2026.](https://mlanthology.org/iclr/2026/lao2026iclr-less/)BibTeX
@inproceedings{lao2026iclr-less,
title = {{Less Gaussians, Texture More: 4k Feed-Forward Textured Splatting}},
author = {Lao, Yixing and Bai, Xuyang and Wu, Xiaoyang and Yan, Nuoyuan and Luo, Zixin and Fang, Tian and Nahmias, Jean-Daniel and Tsin, Yanghai and Li, Shiwei and Zhao, Hengshuang},
booktitle = {International Conference on Learning Representations},
year = {2026},
url = {https://mlanthology.org/iclr/2026/lao2026iclr-less/}
}