VIF-Bench: Evaluating Visual Instruction Following in Multi-Reference Image Generation
VIF-Bench is introduced, a benchmark of 1,241 tasks designed to assess the edge of model capabilities in this joint setting in which multiple references must be composed under multiple and heterogeneous visual-instruction images, and uncover three findings.
Yuta Oshima, Masakazu Yoshimura, Masahiro Suzuki et al.
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