Lifelike Facial Image Synthesis with ID Embeddings: Arc2Face Pioneers New Frontiers

Generating realistic human facial images has long challenged computer vision and machine learning researchers. Early techniques like Eigenfaces used Principal Component Analysis (PCA) to learn statistical priors from data but severely lacked the ability to capture the real-world complexities of lighting, expressions, and viewpoints beyond frontal poses. The advent of deep neural networks brought about […]

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