21 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-shot Real Image Animation
Yu Yin, Kamran Ghasedi, HsiangTao Wu +3
Nerf-based Generative models have shown impressive capacity in generating high-quality images with consistent 3D geometry. Despite successful synthesis of fake identity images rand…
cs.CV2022★ 21 cited
AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars
Yue Wu, Yu Deng, Jiaolong Yang +3
Although 2D generative models have made great progress in face image generation and animation, they often suffer from undesirable artifacts such as 3D inconsistency when rendering…
cs.CV2022★ 6 cited
Expanding the Latent Space of StyleGAN for Real Face Editing
Yin Yu, Ghasedi Kamran, Wu HsiangTao +3
Recently, a surge of face editing techniques have been proposed to employ the pretrained StyleGAN for semantic manipulation. To successfully edit a real image, one must first conve…