Shypd.aiThe largest open index of AI toolsNeRF is an open-source implementation of Neural Radiance Fields for view synthesis. It optimizes neural representations for single scenes and renders new views, enabling the creation of 3D scene representations from 2D images.
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NeRF (Neural Radiance Fields) is an open-source project that provides a Tensorflow implementation for optimizing neural representations of single scenes and rendering new views. It allows users to create 3D scene representations from 2D images by training a simple fully connected network that maps spatial location and viewing direction to color and opacity. This network acts as a "volume" for differentiable rendering of new views. Optimizing a NeRF typically takes a few hours to a day or two on a single GPU, while rendering an image from an optimized NeRF can take less than a second to about 30 seconds, depending on resolution. The project includes example data, configuration files, and Jupyter notebooks for demonstrating optimization, rendering, and geometry extraction.
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