Summary
The new AI system introduced in 2023 uses super resolution techniques to enhance pixelated images, showcasing remarkable improvements in image quality, especially in fine details like feathers and eyes. The system excels in making images more realistic by adding new details and features, surpassing older techniques. By learning from both positive and negative examples, the AI system significantly improves its performance, as demonstrated in various applications such as enhancing human faces, animal images, and restoring vintage photos and movies.
Introduction to Super Resolution
The new AI system learns to enhance pixelated images by adding more details through super resolution techniques. A comparison between older and newer techniques is discussed, highlighting the significant improvement in image quality.
Enhancing Image Details
The new technique from 2023 demonstrates remarkable improvements in image quality, especially in terms of details like feathers and eyes. The AI system excels in enhancing image features and making them more realistic compared to previous techniques.
Capabilities of the New Technique
The AI system showcases its capabilities through various examples, including enhancing pixelated images of a car, remixing old video game graphics, creating detailed textures in real-time, improving animal images, enhancing human faces, and restoring vintage photos and movies. The system's ability to generate new details and improve image quality significantly is emphasized.
Learning from Negative Prompts
The AI system learns not only from positive examples but also 100k negative prompts to understand what not to do. This approach leads to a substantial improvement in the system's performance, as demonstrated in the paper.
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