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Original paper

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Published: Jun 1, 2022
Abstract
Though neural radiance fields (NeRF) have demon-strated impressive view synthesis results on objects and small bounded regions of space, they struggle on “un-bounded” scenes, where the camera may point in any di-rection and content may exist at any distance. In this set-ting, existing NeRF-like models often produce blurry or low-resolution renderings (due to the unbalanced detail and scale of nearby and distant objects), are slow to train, and...
Paper Details
Title
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Published Date
Jun 1, 2022
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