NeRF (Neural Radiance Field) is a technique that uses neural networks to represent complex 3D scenes from a set of 2D images. It learns a continuous volumetric scene function that can be rendered from novel viewpoints. Commonly used for photorealistic view synthesis, novel view generation, and 3D reconstruction.
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