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Microsoft Research's Lens proves detailed captions matter more than raw scale for training efficient image generators
Microsoft Research's Lens proves detailed captions matter more than raw scale for training efficient image generators

Microsoft Research presents Lens, a text-to-image model with just 3.8 billion parameters that matches much larger rivals on benchmarks, at a fraction of the training cost. The secret sauce: 800 million detailed image captions generated by GPT-4.1 instead of vague web alt-text. Code and weights are openly available under an open-source license.
The article Microsoft Research's Lens proves detailed captions matter more than raw scale for training efficient image generators appeared first on The Decoder.

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