44 citations · 66 across the 23 of their papers we have counts for
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cs.CV2022★ 1 cited
LatentSwap3D: Semantic Edits on 3D Image GANs
Enis Simsar, Alessio Tonioni, Evin Pınar Örnek +1
3D GANs have the ability to generate latent codes for entire 3D volumes rather than only 2D images. These models offer desirable features like high-quality geometry and multi-view…
cs.CV2022
Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs
Enis Simsar, Umut Kocasari, Ezgi Gülperi Er +1
The discovery of interpretable directions in the latent spaces of pre-trained GAN models has recently become a popular topic. In particular, StyleGAN2 has enabled various image gen…