50 citations · 124 across the 14 of their papers we have counts for
22 papers
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…
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…
Generative Deformable Radiance Fields for Disentangled Image Synthesis of Topology-Varying Objects
Ziyu Wang, Yu Deng, Jiaolong Yang +2
3D-aware generative models have demonstrated their superb performance to generate 3D neural radiance fields (NeRF) from a collection of monocular 2D images even for topology-varyin…
Single-View View Synthesis in the Wild with Learned Adaptive Multiplane Images
Yuxuan Han, Ruicheng Wang, Jiaolong Yang
This paper deals with the challenging task of synthesizing novel views for in-the-wild photographs. Existing methods have shown promising results leveraging monocular depth estimat…
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…
Real-Time Neural Character Rendering with Pose-Guided Multiplane Images
Hao Ouyang, Bo Zhang, Pan Zhang +5
We propose pose-guided multiplane image (MPI) synthesis which can render an animatable character in real scenes with photorealistic quality. We use a portable camera rig to capture…