1. SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization. (from Yang Gao, Wei Zhao, Steffen Eger) 2. Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches. (from Tianze Shi, Lillian Lee) 3. Beyond Accura...
ICML 2017.[11] Zili Yi, Hao Zhang, Ping Tan, Minglun Gong. “DualGAN: Unsupervised Dual Learning for Image-to-Image Translation”. arXiv preprint 2017.[12] Jeff Donahue, Philipp Krhenbühl, Trevor Darrell. “Adversarial Feature Learning”. ICLR 2017.[13] Vincent Dumoulin, Ishmael Belghazi...
作者:Zili Yi、Hao Zhang、Ping Tan 和 Minglun Gong 论文地址:https://arxiv.org/abs/1704.02510 代码地址:https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/dualgan/dualgan.py 跨域图像到图像变换的条件生成网络在近期取得了很大的进步。由于任务的复杂度,训练一个条件 GAN 需要成千...
论文:DualGAN: Unsupervised Dual Learning for Image-to-Image Translation 作者:Zili Yi、Hao Zhang、Ping Tan 和 Minglun Gong 论文地址:https://arxiv.org/abs/1704.02510 代码地址:https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/dualgan/dualgan.py 跨域图像到图像变换的条件生成...
Wang Z, Lim G, Ng WY, Keane PA, Campbell JP, Tan GSW, et al. Generative adversarial networks in ophthalmology: what are these and how can they be used? Curr Opin Ophthalmol. 2021;32(5):459–67. PubMed Google Scholar Tschuchnig ME, Oostingh GJ, Gadermayr M. Generative adversarial...
在工业界,基于生成式技术的真实感效果也引领了一批爆款特效和应用。快手Y-tech在国内率先将GAN落地于短视频特效制作,并积累了丰富的实践经验,为快手各类人脸爆款特效提供有力技术支持。本文主要介绍快手在高精度人脸属性编辑方面的实践,包括性别、年龄、头发、表情等的生成。
Lai SC, Chen KM, Chang YH, Lee HH (2008) Comparative efficacies of albendazole and the Chinese herbal medicine long-dan-xie-gan-tan, used alone or in combination, in the treatment of experimental eosinophilic meningitis induced by Angiostrongylus cantonensis. Ann Trop Med Parasitol 102:143-...
Lee, J. H.; Han, M. K.; Ko, D. W.; Suh, I. H. From big to small: Multi-scale local planar guidance for monocular depth estimation. arXiv preprint arXiv:1907.10326, 2019. Garg, R.; B G, V. K.; Carneiro, G.; Reid, I. Unsupervised CNN for single view depth estimation: ...
在工业界,基于生成式技术的真实感效果也引领了一批爆款特效和应用。快手Y-tech在国内率先将GAN落地于短视频特效制作,并积累了丰富的实践经验,为快手各类人脸爆款特效提供有力技术支持。本文主要介绍快手在高精度人脸属性编辑方面的实践,包括性别、年龄、头发、表情等的生成。
Lee et al. also report an EQE of 25–30% for green QD between 4 and 6 µm thick, and an EQE of 34–38% for red QD between 4 and 6 µm thick79. These values are very similar to EQE of 32.5–37% for green QD between 3 and 5.5 µm thick, and an EQE of 37...