CVJun 7, 2023

FusedRF: Fusing Multiple Radiance Fields

arXiv:2306.04180v12 citationsh-index: 12
Originality Incremental advance
AI Analysis

This addresses efficiency issues for XR applications that need to composite multiple captured scenes, though it appears incremental as it builds on existing RF distillation techniques.

The paper tackles the problem of high computational costs when rendering composite scenes from multiple Radiance Fields by introducing FusedRF, a method that creates a single fused representation with render times and memory usage equivalent to a single RF.

Radiance Fields (RFs) have shown great potential to represent scenes from casually captured discrete views. Compositing parts or whole of multiple captured scenes could greatly interest several XR applications. Prior works can generate new views of such scenes by tracing each scene in parallel. This increases the render times and memory requirements with the number of components. In this work, we provide a method to create a single, compact, fused RF representation for a scene composited using multiple RFs. The fused RF has the same render times and memory utilizations as a single RF. Our method distills information from multiple teacher RFs into a single student RF while also facilitating further manipulations like addition and deletion into the fused representation.

Foundations

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