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arXiv 提交日期: 2026-03-26
📄 Abstract - Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting

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: this https URL

顶级标签: computer vision model training aigc
详细标签: 3d gaussian splatting novel view synthesis 4k rendering feed-forward generation textured primitives 或 搜索:

更少高斯,更多纹理:4K前馈式纹理化高斯泼溅 / Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting


1️⃣ 一句话总结

这篇论文提出了一种名为LGTM的新方法,它通过预测少量高斯几何基元并给每个基元配上纹理,成功实现了无需逐场景优化就能生成高质量4K新视角图像,解决了现有前馈式方法因基元数量随分辨率暴增而无法处理高分辨率合成的难题。

源自 arXiv: 2603.25745