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You can drastically improve text-to-image retrieval from short, ambiguous queries by using a language model to generate richer, quality-aware descriptions.
Forget handcrafted metrics: RetouchIQ uses an RL-tuned MLLM to generate its own reward signals for instruction-based image editing, leading to more semantically consistent and perceptually pleasing results.
