6 citations · 12 across the 5 of their papers we have counts for
5 papers · 1 filter
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
Zenghao Chai, Tianke Zhang, Tianyu He +7
3D Morphable Models (3DMMs) demonstrate great potential for reconstructing faithful and animatable 3D facial surfaces from a single image. The facial surface is influenced by the c…
MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation
Bowen Zhang, Chenyang Qi, Pan Zhang +6
In this work, we propose an ID-preserving talking head generation framework, which advances previous methods in two aspects. First, as opposed to interpolating from sparse flow, we…
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…
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…
JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling
Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu +1
In this paper, we introduce a novel approach to learn a 3D face model using a joint-based face rig and a neural skinning network. Thanks to the joint-based representation, our mode…