Rethinking cross-domain semantic relation for few-shot image generation

Author:

Gou YaoORCID,Li Min,Lv Yilong,Zhang Yusen,Xing Yuhang,He YujieORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference58 articles.

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2. Bojanowski P, Joulin A, Lopez-Pas D, Szlam A (2018) Optimizing the latent space of generative networks. In: International Conference on Machine Learning, PMLR, pp 600–609

3. Brock A, Donahue J, Simonyan K (2018) Large scale gan training for high fidelity natural image synthesis. arXiv preprint http://arxiv.org/abs/1809.11096

4. Cao J, Hou L, Yang MH, He R, Sun Z (2021) Remix: Towards image-to-image translation with limited data. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 15018–15027

5. Chan KC, Wang X, Xu X, Gu J, Loy CC (2021) Glean: Generative latent bank for large-factor image super-resolution. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 14245–14254

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