import torch import torch.nn as nn from model_definition import VoxAdvModel # Assuming you have defined the model architecture in model_definition.py
: The model predicts sparse trajectories for facial features (eyes, mouth, jawline). Vox-adv-cpk.pth.tar
A video of a different person performing actions (talking, nodding, blinking). import torch import torch
The following Python pseudocode demonstrates loading the file and running a forward pass: Vox-adv-cpk.pth.tar
: This prefix could refer to the VoxCeleb dataset, a large-scale speaker verification dataset. Models prefixed with "Vox" are often trained or evaluated on this dataset.