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Supplementary Material DeepI2I Enabling Deep

data-id="" >NeurIPShttps://papers.neurips.cc/paper/2020/file/88855547570f7ff053fff7c54e5148cc...[PDF]Supplementary Material DeepI2I: Enabling Deep …网页DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs Yaxing Wang, Lu Yu, Joost van de Weijer Computer Vision Center, Universitat Autònoma de Barcelona {yaxing, lu, joost}@cvc.uab.es A Architecture and Training Details Model details The proposed method is implemented in Pytorch [11]. Our model framework is  

发布时间:2024-06-03
TransferI2I Transfer Learning for Image

发布时间:2024-06-03
Homebrew

发布时间:2024-06-03
DeepI2I  Image

发布时间:2024-06-03
DeepI2I Enabling Deep Hierarchical Image

发布时间:2024-06-03
DeepI2I Enabling Deep Hierarchical Image

data-id="" >literatumonline.comhttps://acm-stag.literatumonline.com/doi/pdf/10.5555/3495724.3496714[PDF]DeepI2I: Enabling Deep Hierarchical Image-to-Image …网页2022年4月16日 · The proposed method, DeepI2I, builds upon the state-of-the-art BigGAN model [7], extending it to I2I translation by adding an encoder with the same architecture as the discriminator. An additional advantage of this architecture is that because it applies a latent class embedding, it

发布时间:2024-06-03
Cross

发布时间:2024-06-03
Figure 19

data-id="" >NeurIPS Proceedingshttps://proceedings.neurips.cc/paper_files/paper/...[PDF]Figure 19 - NeurIPS网页Input DeepI2I StarGAN DMIT Input DeepI2I CycleGAN Bull masti Leopard Input StarGAN v2 DRIT++ DeepI2I DeepI2I(w/o Rec.) Figure 19: (left) Comparison with StarGAN v2, DRIT++, and ablation of reconstruction loss, (middle) evaluation on human face to portrait, (right) evaluation on horse to zebra translation (zoom for close inspection).

发布时间:2024-06-03

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