多模态驱动的人脸语音生成、人脸交换、扩散模型（英文版）

英文标题：Multimodal-driven Talking Face Generation, Face Swapping, Diffusion Model中文摘要：本研究提出了一种基于 Diffusion Models 和 Texture-Geometry-aware 的面部生成方法，采用基于纹理注视的模块准确地建模源和目标条件中的外观和几何线索之间的对应关系，并结合额外的隐式信息进行高保真度的面部生成，并且能够优雅地用于面部交换。英文摘要：Multimodal-driven talking face generation refers to animating a portrait withthe given pose, expression, and gaze transferred from the driving image andvideo, or estimated from the text and audio. However, existing methods ignorethe potential of text modal, and their generat