3D Key Frame Animation Generation Method Based on Deep Learning

In order to improve the generation and recognition ability of 3D key frame animation, a 3D key frame animation generation method based on deep learning is proposed. Build the 3D key frame animation detection and frame stability control model, realize the dynamic parameter identification of 3D key frame animation through multi-dimensional space parameter detection technology, and establish the grey parameter analysis model of 3D key frame animation by using deep learning image stabilization control technology. According to the parameter detection results under deep learning control, combined with adaptive animation feature location and block detection technology, a 3D animation feature point fusion matching filter model is established, which can realize the detection and automatic reconstruction of 3D key frame animation. The test results show that this method has high accuracy and good block matching effect for the automatic reconstruction of 3D key frame animation, and improves the fidelity and fidelity of 3D key frame animation.