- A Diverse Domain Generative Adversarial Network for Style Transfer ...🔍
- FusIon of STyle|path generative Networks for facial style transfer🔍
- [PDF] P$^2$|GAN🔍
- Image Style Transfer based on Generative Adversarial Network🔍
- Style Transfer with Generative Adversarial Networks🔍
- Robust Nonparametric Distribution Transfer with Exposure ...🔍
- Style Transfer Using Generative Adversarial Networks for Multi|Site ...🔍
- Image neural style transfer combining global and local optimization🔍
Adversarial Gated Networks for Multi|Collection Style Transfer
A Diverse Domain Generative Adversarial Network for Style Transfer ...
Dacheng, “Gated-gan: Adversarial gated networks for multi-collection style transfer,” IEEE. Transactions on Image Processing, vol. 28, no. 2 ...
FusIon of STyle-path generative Networks for facial style transfer
The method also preserves facial structure, identity, and details via the gated mapping unit introduced in this study. The aforementioned components enable us ...
[PDF] P$^2$-GAN: Efficient Style Transfer Using Single Style Image
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer · Xinyuan ChenChang XuXiaokang YangLi SongD. Tao. Computer Science. IEEE Transactions ...
Image Style Transfer based on Generative Adversarial Network
In addition, we use transformer module of Gated-GAN to perform multi-domain style translation as CycleGAN requires multiple discriminators and generator module ...
SDP-GAN: Saliency Detail Preservation Generative Adversarial ...
Tao, “Gated-GAN: Adver- sarial gated networks for multi-collection style transfer,” IEEE Trans. Image Process., vol. 28, no. 2, pp. 546–560, Feb. 2019. [15] ...
Style Transfer with Generative Adversarial Networks - AMS Tesi
This approach is particularly significant, due to the difficult of gathering an image collection of exactly the same scenes with and without fog. Many of the ...
Robust Nonparametric Distribution Transfer with Exposure ... - NCBI
Gated-gan: Adversarial gated networks for multi-collection style transfer. IEEE Trans. Image Process. 2018;28:546–560. doi: 10.1109/TIP ...
Style Transfer Using Generative Adversarial Networks for Multi-Site ...
bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution.
Latest. Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer. © 2024 SJTU Media Lab. This work is licensed under CC BY NC ND 4.0.
Image neural style transfer combining global and local optimization
... Style-Transfer Generative Adversarial Network With a Weight-Sharing Strategy. ... Gated-gan: adversarial gated networks for multi-collection style transfer.
balling/double-gated-gan: Dual GatedGAN - GitHub
Dual GatedGAN: Content Specific Multi-Collection Style Transfer - balling/double-gated-gan.
Deep Generative Adversarial Networks for Image-to-Image Translation
Gated-gan: Adversarial gated networks for multi-collection style transfer. IEEE Trans. Image Process. 2018, 28, 546–560. [Google Scholar] [CrossRef] [PubMed] ...
Cvstgan: A Controllable Generative Adversarial Network for Video ...
... Gated-gan: Adversarial gated networks for multi-collection style transfer. IEEE Trans. Image Process. 28(2), 546–560 (2018)MathSciNetCrossRef Chen, X., Xu ...
ECGAN: Translate Real World to Cartoon Style Using Enhanced ...
Tao, “Gated-GAN: Adversarial gated networks for multi-collection style transfer,” IEEE Transactions on Image Processing, vol. 28, no. 2, pp. 546–560, 2019 ...
Xinyuan Chen - Google Scholar
Gated-gan: Adversarial gated networks for multi-collection style transfer. X Chen, C Xu, X Yang, L Song, D Tao. IEEE Transactions on Image Processing 28 (2), ...
Unsupervised Generative Adversarial Networks With Cross-Model ...
To solve the above problems, this paper proposes a new model CWT-. GAN, which introduces the cross-model weight transfer mechanism. The discriminator of CWT-GAN ...
Artistic Image Style Transfer Based on CycleGAN Network Model
As a result, the cyclic generative adversarial network model optimized by the attention mechanism improves the clarity of the generated image, enhances the ...
Style Transfer in Text: Exploration and Evaluation
The models achieve the goals by multi-task learning (Caruana 1998) and adversarial training (Goodfel- low et al. 2014) of deep neural network. The first model ...
Multiple Text Style Transfer by using Word-level Conditional ...
Adversarial Network with Two-Phase Training ... fcond is a multi-layer perceptron. ftrans is ... Gated feedback recur- rent neural networks.
Deep Learning::Redes Adversárias & Neural Style Transfer - LAPIX
Transferência de valores de pixels a objetos semanticamente correlatos: Redes Gerativas Adverárias (GANs – Adversarial Generative Networks) e; Transferência de ...