TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models

Benchmark Model Rank Results
vision-language-understanding-on-mmstarTuna#12Accuracy: 79.3
image-editing-on-gedit-bench-enTuna#20Overall: 7.29
visual-question-answering-vqa-on-realworldqaTuna#26Accuracy: 74.7
text-to-image-generation-on-dpg-benchTuna#33DPG-Bench Score: 86.76
video-question-answering-on-lvbenchTuna#53Accuracy: 27.4
multimodal-reasoning-on-mmmuTuna#57Accuracy: 61.2
video-question-answering-on-mvbenchTuna#77Avg.: 54.4
chart-question-answering-on-chartqaTuna#851:1 Accuracy: 74.3
text-to-image-generation-on-genevalTuna (1.5B)–Overall: 0.88
text-to-image-generation-on-genevalTuna (7B)–Overall: 0.90