Source Themes

Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data

ICLR2022.Code: https://github.com/yaxingwang/KDIT

Yaxing Wang, Joost van de Weijer, Lu Yu, Shangling Jui

Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data

One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift

Code: https:https://github.com/Albert0147/OneRing_SF-UNDA.

Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

Code: https:https://github.com/Albert0147/AaD_SFDA.

Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains

Code: [](https://github.com/yaxingwang/MineGAN)[https://github.com/yaxingwang/MineGAN](<https://github.com/yaxingwang/MineGAN).

Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui

Hyper-GAN: Transferring Unconditional to Conditional GANs with HyperNetworks

We explore first the setting from unconditional GANs to conditional GANs.

Héctor Laria, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu

Hyper-GAN: Transferring Unconditional to Conditional GANs with HyperNetworks

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation

NeurIPS2021. Code: https://github.com/Albert0147/SFDA_neighbors.

Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation

Generalized Source-free Domain Adaptation

ICCV2021. Code:https://github.com/Albert0147/G-SFDA.

Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui

TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets

ICCV2021. Code: <https://github.com/yaxingwang/ TransferI2I>

Yaxing Wang, Hector Laria Mantecon, Joost van de WeijerLaura Lopez-Fuentes, Bogdan Raducanu

TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets

Controlling biases and diversity in diverse image-to-image translation

We address the bias of I2I translation

StyleGAN, Robert Ford

Controlling biases and diversity in diverse image-to-image translation

Unsupervised domain adaptation without source data by casting a bait

We explore first the setting from unconditional GANs to conditional GANs.

Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui

Unsupervised domain adaptation without source data by casting a bait