Neural rendering refers to a class of techniques that use neural networks to generate novel views of a scene or object. Instead of relying solely on traditional computer graphics pipelines, neural rendering leverages machine learning to learn a representation of the scene and then render new images from that representation. This can involve learning implicit functions to represent geometry and appearance, or using neural networks to directly map input images to output images. Common uses include view synthesis, image-based rendering, and creating photorealistic renderings from sparse or incomplete data.
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