FRVD warps a source face toward driving poses with implicit keypoints, then repairs lost details inside Stable Video Diffusion's latent space, reporting gains over seven baselines on large-pose reenactment benchmarks.
How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks)
1 Pith paper cite this work. Polarity classification is still indexing.
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Navigating Large-Pose Challenge for High-Fidelity Face Reenactment with Video Diffusion Model
FRVD warps a source face toward driving poses with implicit keypoints, then repairs lost details inside Stable Video Diffusion's latent space, reporting gains over seven baselines on large-pose reenactment benchmarks.