更少高斯，纹理更多：4K前馈纹理散射
Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting
- HKU（香港大学）
- Apple（苹果公司）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出LGTM方法，通过预测紧凑高斯体与每体纹理，实现高分辨率4K视图合成，无需场景优化，显著减少高斯体数量。
AI中文摘要：
现有前馈3D高斯散射方法预测像素对齐的基元，导致分辨率增加时基元数量呈二次增长，限制了可扩展性，使4K高分辨率合成难以实现。我们引入LGTM（Less Gaussians, Texture More），一种前馈框架，克服了分辨率扩展瓶颈。通过预测紧凑高斯基元并结合每基元纹理，LGTM将几何复杂度与渲染分辨率解耦。此方法使高保真4K新视图合成成为可能，无需场景优化，这一能力此前无法通过前馈方法实现，同时显著减少高斯基元数量。项目页面：https://yxlao.github.io/lgtm/
英文摘要：
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/
