Controlling the eye pose

[atgao]

Inside the inference script, we can control the pose with here. Is it also possible to control or condition on the eye pose since FLAME has controllable eye joints? I tried to modify the eye pose in the decoding step https://github.com/adobe-research/diffusion-rig/blob/d9b266102e1900032efc62e66a7f6c66dde5ff79/decalib/models/FLAME.py#L189 but it appears that the eye pose is still the same

[zh-ding]

Since we utilize DECA to obtain physical buffers but DECA does not output eye_pose parameters, the model could not learn to control the eye pose. FLAME would use a default eye pose if the parameters are not provided. As you can see in the teaser figure, the eye poses of the physical buffers are neutral regardless of the inputs.