no code implementations • 10 Oct 2023 • Zikun Chen, Han Zhao, Parham Aarabi, Ruowei Jiang
We propose a novel framework SC$^2$GAN that achieves disentanglement by re-projecting low-density latent code samples in the original latent space and correcting the editing directions based on both the high-density and low-density regions.
1 code implementation • 1 Sep 2022 • Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi
Generative Adversarial Networks (GANs) have been widely applied in modeling diverse image distributions.