Of particular relevance to our work is Spectral Normalization (Miyato et al., 2018), which enforces Lipschitz continuity on D by normalizing its parameters with running estimates of their first singular values, inducing backwards dynamics t…We evaluate our models on ImageNet ILSVRC 2012 (Russakovsky et al., 2015) at 128×128, 256×256, and 512×512 resolutions, employing the settings from Table 1, row 8. The samples generated by our models are presented in Figure 4, with addition…Yuhuai Wu, Yuri Burda, Ruslan Salakhutdinov, and Roger B. Grosse. On the quantitative analysis of decoder-based generative models. In ICLR, 2017.
Yasin Yazc, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, and Vijay Chand…
Han Zhang
scientist · 3 mentions across 1 reading
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Han Zhang appears as a researcher working on generative adversarial networks (GANs) and large-scale image synthesis, likely contributing to methods for high-resolution image generation evaluated on ImageNet. The excerpts cite work involving spectral normalization and discriminator regularization techniques that stabilize GAN training, positioning Zhang's contributions within the broader engineering challenge of making deep generative models reliable and scalable. This work exemplifies the technical infrastructure required to realize neural image generation at production scale, a key case study in how AI systems encode and reproduce visual culture.
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Augustus Odena 2Takeru Miyato 2Chuan-Sheng Foo 1Dimitris Metaxas 1Georgios Piliouras 1Ian Goodfellow 1Karen Simonyan and Andrew Zisserman 1Kim-Hui Yap 1Roger B. Grosse 1Ruslan Salakhutdinov 1Stefan Winkler 1Vijay Chandrasekhar 1Yasin Yazc 1Yuhuai Wu 1Yuri Burda 1Harm de Vries 1Mehdi Mirza 1Tero Karras 1Xiaolong Wang 1Olga Russakovsky 1