Method for training neural network model and method for generating image

Abstract

The present disclosure relates to a method for training a neural network model and a method for generating an image. The method for training a neural network model includes: acquiring an image about a scene captured by a camera; determining a plurality of rays at least according to parameters of the camera when capturing the image; determining a plurality of sampling points according to a relative positional relationship between the rays and a point cloud, where the point cloud is associated with a part of the scene; determining color information of pixels of the image which correspond to the sampling points; and training the neural network model according to positions of the sampling points and the color information of the pixels.

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