Synthesis of new views of complex scenes from real photos using NeRF
Synthesis of views of scenes is a long-standing problem in the field of computer vision. At the moment, there are many approaches to solving this problem, from the usual interpolation between individual views to neural rendering. This paper considers the synthesis of views of complex scenes from real photographs. Exactly for the research, photographs of a building in a residential quarter are used, taken from different angles with various changeable objects such as moving cars or pedestrians, is a significant obstacle to obtaining a high-quality result. Thanks to NeRF (Natural Radiance Fields), a breakthrough was made. In the context of the issues under consideration, we can distinguish NeRF-W, which allows you to work with photos taken under different lighting conditions and the presence of changeable objects, and Instant NeRF, which works many times faster than analogues.