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Federal University of Paran谩, Federal Institute of Mato Grosso (IFMT)
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Recognition performance in face recognition systems can vary dramatically based on image quality, revealing hidden biases that challenge existing benchmarks.
Achieving a 4.36脳 speed-up in face synthesis without sacrificing image quality could revolutionize the generation of large-scale synthetic face datasets.
