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Neural Radiation Field (NeRF) technology can learn a 3D implicit model of ascene from 2D images and synthesize realistic novel view images. Thistechnology has received widespread attention from the industry and has goodapplication prospects. In response to the problem that the rendering quality ofNeRF images needs to be improved, many researchers have proposed variousmethods to improve the rendering quality in the past three years. The latestrelevant papers are classified and reviewed, the technical principles behindquality improvement are analyzed, and the future evolution direction of qualityimprovement methods is discussed. This study can help researchers quicklyunderstand the current state and evolutionary context of technology in thisfield, which is helpful in inspiring the development of more efficientalgorithms and promoting the application of NeRF technology in related fields.

Methods and strategies for improving the novel view synthesis quality of neural radiation field