Can the model generate FLAME parameters for new identities during inference that were not included in its training dataset? If not, what strategies can be employed to fine-tune the model to make it work on these unseen identities?
Hi, we do not include any identities during training, which means the face shape is unchanged. We provide code for transfer animation for other identities, please refer to the post_process folder.
Can the model generate FLAME parameters for new identities during inference that were not included in its training dataset? If not, what strategies can be employed to fine-tune the model to make it work on these unseen identities?