ZHANG

Neural Radiance Field (NeRF), you may have heard this word many times in the past few months. Yes, this is the latest progress in neutral work and computer graphics. NeRF represents a scene with a learned, continuous volumetric radiance field \(F_{\theta}\) defined over a bounded 3D volume. In Nerf, \(F_{\theta}\) is a multilayer perceptron (MLP) that takes as input a 3D position \(x=(x,y,z)\) and unit-norm viewing direction \(d=(d_x,d_y,d_z)\), and produces an output which contains density \(\sigma\) and color \(c=(r,g,b)\). By enumerating all possible positions and directions of a bounded 3D volume, we are able to obtain the 3D scene.

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