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- W4378077900 abstract "3DMM conditioned face generation has gained traction due to its well-defined controllability; however, the trade-off is lower sample quality: Previous works such as DiscoFaceGAN and 3D-FM GAN show a significant FID gap compared to the unconditional StyleGAN, suggesting that there is a quality tax to pay for controllability. In this paper, we challenge the assumption that quality and controllability cannot coexist. To pinpoint the previous issues, we mathematically formalize the problem of 3DMM conditioned face generation. Then, we devise simple solutions to the problem under our proposed framework. This results in a new model that effectively removes the quality tax between 3DMM conditioned face GANs and the unconditional StyleGAN." @default.
- W4378077900 created "2023-05-25" @default.
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- W4378077900 date "2023-05-22" @default.
- W4378077900 modified "2023-09-26" @default.
- W4378077900 title "'Tax-free' 3DMM Conditional Face Generation" @default.
- W4378077900 doi "https://doi.org/10.48550/arxiv.2305.13460" @default.
- W4378077900 hasPublicationYear "2023" @default.
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