Search Results for author: Yuesong Tian

Found 4 papers, 1 papers with code

Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance

no code implementations5 Mar 2022 Shiwei Liu, Yuesong Tian, Tianlong Chen, Li Shen

Even more unconventionally, our proposed method enables directly training sparse unbalanced GANs with an extremely sparse generator from scratch.

Model Compression

DGL-GAN: Discriminator Guided Learning for GAN Compression

no code implementations13 Dec 2021 Yuesong Tian, Li Shen, DaCheng Tao, Zhifeng Li, Wei Liu

Generative Adversarial Networks (GANs) with high computation costs, e. g., BigGAN and StyleGAN2, have achieved remarkable results in synthesizing high resolution and diverse images with high fidelity from random noises.

Sparse Unbalanced GAN Training with In-Time Over-Parameterization

no code implementations29 Sep 2021 Shiwei Liu, Yuesong Tian, Tianlong Chen, Li Shen

Perhaps most importantly, we find instead of inheriting parameters from expensive pre-trained GANs, directly training sparse GANs from scratch can be a much more efficient solution.

Model Compression

AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks

1 code implementation16 Jun 2020 Yuesong Tian, Li Shen, Guinan Su, Zhifeng Li, Wei Liu

To this end, we propose a fully differentiable search framework for generative adversarial networks, dubbed alphaGAN.

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