An image processing method and an image processing apparatus are provided. The image processing method includes: receiving a camera pose of a camera corresponding to a target scene; generating a piece of prediction information including either a color of an object included in the target scene or a density of the object, wherein the prediction information is generated by applying, to a neural network model, three-dimensional (3D) points on a camera ray formed based on the camera pose; sampling, among the 3D points, target points corresponding to a static object, wherein the sampling is based on the piece of prediction information; and outputting a rendered image corresponding to the target scene by projecting a pixel value corresponding to the target points onto the target scene and rendering the target scene onto which the pixel value may be projected.