State‐of‐the‐Art in the Architecture, Methods and Applications of StyleGAN
Author:
Affiliation:
1. The Blavatnik School of Computer Science Tel‐Aviv University
Publisher
Wiley
Subject
Computer Graphics and Computer-Aided Design
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.14503
Reference163 articles.
1. AfifiM. BrubakerM. A. BrownM. S.: HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms. InProceedings of the IEEE Conference on Computer Vision and Pattern Recognition(2021). 8
2. AnokhinI. DemochkinK. KhakhulinT. SterkinG. LempitskyV. KorzhenkovD.: Image generators with conditionally-independent pixel synthesis. InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(2021) pp.14278–14287. 4
3. AlBaharB. LuJ. YangJ. ShuZ. ShechtmanE. HuangJ.-B.: Pose with Style: Detail-preserving pose-guided image synthesis with conditional stylegan.ACM Transactions on Graphics(2021). 8 12
4. Only a matter of style
5. AlalufY. PatashnikO. Cohen-OrD.: ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement. InProceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)(oct2021). 9 10 11
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