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VIF-Bench: Evaluating Visual Instruction Following in Multi-Reference Image Generation

Oshima, Yuta et al.
arXiv (All) · Papers
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Recent multimodal image generation models can take multiple images and textual instructions as input, enabling reference-based generation guided not only by text but also by visual instructions such as layouts, arrows, and pose cues. However, existing benchmarks do not evaluate the joint setting in
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