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Department of Electrical and Electronic Engineering, Yonsei University, Seoul, 03722, South Korea
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Transforming low-quality facial images into high-resolution representations while enhancing re-identification accuracy could redefine standards in facial recognition technology.
Achieving unprecedented accuracy in 3D shape reconstruction, this method captures fine details even in the most challenging visual conditions.
