CAP4D：上传参考图即可生成高质量4D角色头像
近日，来自多伦多大学及向量研究所的研究团队发布了 CAP4D 模型，这是一种基于形变多视角扩散模型（MMDM）的新技术，能够通过任意数量的参考图像生成逼真的4D 头像。该模型采用双阶段方法，首先利用 MMDM 生成不同视角和表情的图像，然后将这些生成的图像与参考图像结合，重建出一个可实时控制的4D 头像。在 CAP4D 的工作流程中，用户可以输入任意数量的参考图像，这些图像将被编码到变分自编码器的潜在空间中。接着，使用现成的面部追踪技术 FlowFace 估计每张参考图像的3D 形变模型
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