ROVI's pre-detection VLM-LLM re-captioning yields richer open-vocabulary box labels on 1M curated images, and a GLIGEN model trained on ROVI improves instance grounding, prompt fidelity, and aesthetic quality in the paper's comparisons.
Training-free layout control with cross-attention guidance
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ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation
ROVI's pre-detection VLM-LLM re-captioning yields richer open-vocabulary box labels on 1M curated images, and a GLIGEN model trained on ROVI improves instance grounding, prompt fidelity, and aesthetic quality in the paper's comparisons.