Застосування нейромережевого підходу для оживлення зображень обличчя

Abstract

In this work, methods for animating 3D facial models using the neural network approach of the First Order Motion Model (FOMM) and the integration of animation data into Blender are discussed. Key points are used to create a motion map that allows the transmission of facial expressions and gestures to the 3D model. The obtained animation data is synchronized with Shape Keys in Blender, providing natural movement of the model without the need for complex rigging.