Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning

Guo, Jiayi; Wang, Chaofei; Wu, You; Zhang, Eric; Wang, Kai; Xu, Xingqian; Song, Shiji; Shi, Humphrey; Huang, Gao

doi:10.1109/cvpr52729.2023.01106

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Enhancing the Flexibility And Versatility Of 3d Toonification1

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Cited by 7 publications

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“…In addition, a more flexible training paradigm could directly guide the 3D toonification process with a pre-trained vision-language model [171]. In contrast to recent attempts [306,307] on single domains, future endeavors could aim to incorporate text guidance into the multi-style DeformToon3D framework, thereby enabling toonification into a richer array of styles. To further enhance identity preservation, the use of heterogeneous data could be considered.…”

Section: Enhancing the Flexibility And Versatility Of 3d Toonificationmentioning

confidence: 99%