Application Analysis of Digital Special Effects Technology in Film and Television Post-production Based on Neural Network Algorithm

The leap in film and television special effects technology has updated a series of film production methods. Post-production using the most advanced computer graphics technology stimulates the creativity of the producers, simplifies the post-production process, and improves the quality of the entire film. The purpose of this paper is to study the application of digital special effects technology in film and television post-production based on neural network algorithm. First, the digital technology used in the widely used film and television post-production is introduced, and then some applications and problems of artificial neural networks are introduced. Then the PointNet network structure is introduced, which is a deep learning network in 3D point cloud. Framework, which eliminates the ambiguity caused by the disorder and rotation of point clouds by introducing T-net and utilizing max-pooling, and finally we introduce an encoder-decoder network for 3D human reconstruction, which encodes The network extracts the features, and uses the decoding network to learn the transformation between the template and the input point cloud, so as to complete the deformation fitting between the template and the point cloud.