This AI paper introduces a 3D diffusion-based approach for casual NeRF captures, improving artifacts and enhancing scene geometry using local 3D priors and a novel loss function

Neural Radiance Fields (NeRFs) captured casually are often of lesser quality than most catches displayed in NeRF articles. The eventual goal of a typical user (for example, a hobbyist) who captures a NeRFs is frequently to create a fly-through route from a quite different set of views than the first obtained photos. This significant viewpoint […]

The post This AI paper introduces a 3D diffusion-based approach for casual NeRF captures, improving artifacts and enhancing scene geometry using local 3D priors …

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