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Technical University of Munich
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Current avatar systems are more diverse than ever, yet foundational prior learning is often overlooked in discussions of photorealistic digital humans.
Achieve 3x faster and more accurate 4D facial reconstruction by predicting canonical facial point coordinates, enabling temporally consistent geometry and reliable correspondences within a single feed-forward model.
