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AI image generation creates visual outputs from learned patterns and inputs such as text, images, masks, or layout constraints.
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Computer vision builds systems that extract information from images or video.
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AI video tools can generate clips, transform existing footage, assist editing, or analyze recordings.
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AI for 3D can help reconstruct scenes, generate assets, estimate geometry, or synthesize new views.
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AI can support creative work by suggesting variations, drafting material, and transforming existing assets.
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Object detection identifies and locates object instances in an image, commonly returning category labels and bounding boxes.
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Facial recognition compares facial images to estimate whether they correspond to the same identity or to find candidates in a collection.
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Image segmentation assigns labels to pixels or image regions.
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Style transfer transforms an image using visual characteristics from another image or a learned style representation.
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Deepfakes are synthetic or manipulated media that can make people appear to say or do things they did not.
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Visual reasoning involves answering questions about relationships, quantities, spatial arrangements, or other information in visual material.
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Synthetic-image detection estimates whether an image was generated or altered using particular techniques.
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