LLaVA is trained on GPT-4 generated visual instruction data to achieve 85.1% relative performance to GPT-4 on synthetic multimodal tasks and 92.53% accuracy on Science QA.
Gligen: Open-set grounded text-to-image genera- tion
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MaskAttn-SDXL adds token-conditioned spatial gating to SDXL cross-attention to sparsify irrelevant token-to-location bindings and improve region-level controllability without retraining or inference edits.
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Visual Instruction Tuning
LLaVA is trained on GPT-4 generated visual instruction data to achieve 85.1% relative performance to GPT-4 on synthetic multimodal tasks and 92.53% accuracy on Science QA.
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MaskAttn-SDXL: Controllable Region-Level Text-To-Image Generation
MaskAttn-SDXL adds token-conditioned spatial gating to SDXL cross-attention to sparsify irrelevant token-to-location bindings and improve region-level controllability without retraining or inference edits.