Abstract:Neural radiance fields (NeRF) have demonstrated a promising research direction for novel view synthesis. However, the existing approaches either require per‐scene optimization that takes significant computation time or condition on local features which overlook the global context of images. To tackle this shortcoming, we propose the Conditionally Parameterized Neural Radiance Fields (CP‐NeRF), a plug‐in module that enables NeRF to leverage contextual information from different scales. Instead of optimizing the… Show more
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