Semiconductor Optoelectronics, Volume. 44, Issue 5, 756(2023)
Super-Resolution Image Style Transfer Combined with Reversible Network
[1] [1] Jing Y, Yang Y, Feng Z, et al. Neural style transfer: A review
[2] [2] Li Y J, Fang C, Yang J M, et al. Universal style transfer via feature transforms
[3] [3] Huang X, Belongie S. Arbitrary style transfer in real-time with adaptive instance normalization
[4] [4] Sheng L, Lin Z, Shao J, et al. Avatar-net: Multi-scale zero-shot style transfer by feature decoration
[5] [5] Wang H, Li Y, Wang Y, et al. Collaborative distillation for ultra-resolution universal style transfer
[6] [6] Jing Y, Liu X, Ding Y, et al. Dynamic instance normalization for arbitrary style transfer
[7] [7] An J, Li T, Lou J B, et al. Real-time universal style transfer on high-resolution images via zero-channel pruning
[8] [8] Junginger A, Hanselmann M, Strauss T, et al. Unpaired high-resolution and scalable style transfer using generative adversarial networks
[9] [9] Chen Z, Wang W H, Xie E Z, et al. Towards ultra-resolution neural style transfer via thumbnail instance normalization
[10] [10] Kingma D P, Dhariwal P. Glow: Generative flow with invertible 1×1 convolutions
[11] [11] Hu J, Shen L, Sun G. Squeeze-and-excitation networks
[12] [12] Jiang Y, Gong X, Liu D, et al. Enlightengan: Deep light enhancement without paired supervision
[13] [13] Li X, Liu S, Kautz J, et al. Learning linear transformations for fast image and video style transfer
[14] [14] An J, Huang S, Song Y, et al. Artflow: Unbiased image style transfer via reversible neural flows
Get Citation
Copy Citation Text
LIN Zhen, ZHENG Qianying. Super-Resolution Image Style Transfer Combined with Reversible Network[J]. Semiconductor Optoelectronics, 2023, 44(5): 756
Category:
Received: Jul. 18, 2023
Accepted: --
Published Online: Nov. 20, 2023
The Author Email: Qianying ZHENG (zhengqy@vip.sina.com)