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arXiv 2609.31198cs.CV

光场基元用于新视角合成

Light Field Primitive for Novel View Synthesis

  • Tongji University(同济大学)
  • Hong Kong Metropolitan University(香港都会大学)
  • City University of Hong Kong(香港城市大学)

机构由 AI 辅助整理,请以论文原文为准。

Liang Chen, Jiahui Ning, Xun Jiang, Xing Xu, Jimmy Ren, Fenglei Fan, Heng Tao Shen

中文总结 AI 辅助

提出光场基元(LFP),以紧凑可微基元替代密集光线数据库,实现新视角合成,支持多尺度抗锯齿、散焦去模糊、鱼眼渲染及透明物体重建,性能具竞争力。

中文摘要 AI 辅助

我们提出了光场基元(LFP),一种用于新视角合成的公式化方法,它用一组紧凑的可微基元取代了经典双平面参数化中的密集光线数据库。每个基元将一组光线压缩为一条学习到的记录,其对查询的响应由该查询与该组的接近程度决定。渲染一条相机光线因此简化为合成其引发的所有响应,并且场景可以直接从带姿态的图像进行优化,并通过光线实时渲染。除了在标准基准上具有竞争力的性能外,LFP的主要优势在于其结构性:其基元直接位于4D光线空间中,因此已经是对光场操作的光学与外观效果,成为单个共享渲染器的行为。通过对该渲染器进行最小改动,LFP支持多尺度抗锯齿、带重对焦的散焦去模糊、鱼眼相机渲染,甚至支持带光线折射的透明物体重建,与为这些效果投入大量机制的专用框架相匹配。

英文摘要

We present Light Field Primitives (LFP), a formulation for novel view synthesis that replaces the dense ray database with a compact set of differentiable primitives in the classical two-plane parameterization. Each primitive condenses a group of rays into one learned record, and its response to a query is governed by how closely that query belongs to the group. Rendering a camera ray then reduces to compositing all responses it elicits, and a scene can be optimized directly from posed images and rendered in real time with rays. Beyond its competitive performance on standard benchmarks, the main advantage of LFP is structural: its primitives reside directly in the 4D ray space, so optical and appearance effects that are already operations on the light field become behaviors of a single shared renderer. With minimal changes to that renderer, LFP supports multi-scale anti-aliasing, defocus deblurring with refocusing, rendering for fisheye cameras, and even transparent object reconstruction with ray refraction, matching specialized frameworks that devote substantial machinery to these effects.

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