Mip-NeRF 360 (Unbounded Anti-Aliased Neural Radiance Fields)
Introduced by Barron et al. in Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Mip-NeRF 360 is an extension to the Mip-NeRF that uses a non-linear parameterization, online distillation, and a novel distortion-based regularize to overcome the challenge of unbounded scenes. The dataset consists of 9 scenes with 5 outdoors and 4 indoors, each containing a complex central object or area with a detailed background.
Papers
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