1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
SC2GAN: Rethinking Entanglement by Self-correcting Correlated GAN Space
Zikun Chen, Han Zhao, Parham Aarabi +1
Generative Adversarial Networks (GANs) can synthesize realistic images, with the learned latent space shown to encode rich semantic information with various interpretable direction…
cs.CV2023★ 1 cited
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers
Cong Wei, Brendan Duke, Ruowei Jiang +3
Vision Transformers (ViT) have shown their competitive advantages performance-wise compared to convolutional neural networks (CNNs) though they often come with high computational c…
cs.CV2022★ 1 cited
Exploring Gradient-based Multi-directional Controls in GANs
Zikun Chen, Ruowei Jiang, Brendan Duke +2
Generative Adversarial Networks (GANs) have been widely applied in modeling diverse image distributions. However, despite its impressive applications, the structure of the latent s…