most citedGenArena: How Can We Achieve Human-Aligned Evaluation for Visual Generation Tasks?

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cs.CV2026

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing

Xinjie Zhang, Peng Zhang, Shicheng Zheng +21

Large-scale visual generators are increasingly capable but costly to train, fine-tune, and deploy. We introduce Mage-Flow, a compact 4B-scale generative stack for efficient text-to…

cs.CV2026★ 1 cited

GenArena: How Can We Achieve Human-Aligned Evaluation for Visual Generation Tasks?

Ruihang Li, Leigang Qu, Jingxu Zhang +6

The rapid advancement of visual generation models has outpaced traditional evaluation approaches, necessitating the adoption of Vision-Language Models as surrogate judges. In this…