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2022-074 - End-to-End Face Asset Creation From a Single Image

Realistic avatar creation for movies, video games, teleconferencing, and social media Abstract USC researchers have developed Deep Iterative Face Fitting (DIFF), an end-to-end neural network that can create high-quality face avatars from a single image. This technique can reconstruct a professional-grade face model down to pore-level facial geometries...