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This invention describes a deep learning system that trains artificial intelligence models. It works by first creating perfect computer-generated images, then intentionally adding realistic flaws and imperfections to these images. These specially degraded images, which now look more like real-world photos, are then used to teach the AI model.
Why it matters: Filed just as advanced generative AI models were becoming widely accessible. The ability to create high-fidelity synthetic images and sophisticated degradation filters has greatly improved since 2023, making the core data generation steps more accessible and effective for training AI.
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