no code implementations • 5 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.
1 code implementation • 13 Dec 2021 • Yuesong Tian, Li Shen, Xiang Tian, DaCheng Tao, Zhifeng Li, Wei Liu, Yaowu Chen
Moreover, DGL-GAN is also effective in boosting the performance of original uncompressed GANs.
no code implementations • 29 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.
1 code implementation • 16 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.