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About this paper
Yan Yang, Haochen Tian, Yang Shi, Wulin Xie, Yi-Fan Zhang, Yuhao Dong, Ran He, Caifeng Shan and 2 more
The authors survey unified foundation models designed to handle both multimodal understanding and generation. They organize more than 700 papers by coupling and review representations, training, benchmarks, and applications. Their synthesis highlights hybrid autoregressive and diffusion approaches as promising, but says whether understanding and generation improve one another remains unevaluated; script-to-film generation remains a future goal.
Summary by alphaXiv.
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