12 citations · 24 across the 9 of their papers we have counts for
9 papers
SOAP: Style-Omniscient Animatable Portraits
Tingting Liao, Yujian Zheng, Adilbek Karmanov +4
Creating animatable 3D avatars from a single image remains challenging due to style limitations (realistic, cartoon, anime) and difficulties in handling accessories or hairstyles.…
VOODOO XP: Expressive One-Shot Head Reenactment for VR Telepresence
Phong Tran, Egor Zakharov, Long-Nhat Ho +7
We introduce VOODOO XP: a 3D-aware one-shot head reenactment method that can generate highly expressive facial expressions from any input driver video and a single 2D portrait. Our…
VOODOO 3D: Volumetric Portrait Disentanglement for One-Shot 3D Head Reenactment
Phong Tran, Egor Zakharov, Long-Nhat Ho +3
We present a 3D-aware one-shot head reenactment method based on a fully volumetric neural disentanglement framework for source appearance and driver expressions. Our method is real…
Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion
Evonne Ng, Hanbyul Joo, Liwen Hu +4
We present a framework for modeling interactional communication in dyadic conversations: given multimodal inputs of a speaker, we autoregressively output multiple possibilities of…
A Robust Visual Sampling Model Inspired by Receptive Field
Liwen Hu, Lei Ma, Dawei Weng +1
Spike camera mimicking the retina fovea can report per-pixel luminance intensity accumulation by firing spikes. As a bio-inspired vision sensor with high temporal resolution, it ha…
Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion
Shruti Agarwal, Liwen Hu, Evonne Ng +3
In today's era of digital misinformation, we are increasingly faced with new threats posed by video falsification techniques. Such falsifications range from cheapfakes (e.g., looka…
Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
Huiwen Luo, Koki Nagano, Han-Wei Kung +6
We introduce a highly robust GAN-based framework for digitizing a normalized 3D avatar of a person from a single unconstrained photo. While the input image can be of a smiling pers…
HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks
Yi Zhou, Liwen Hu, Jun Xing +4
We introduce a deep learning-based method to generate full 3D hair geometry from an unconstrained image. Our method can recover local strand details and has real-time performance.…
Photorealistic Facial Texture Inference Using Deep Neural Networks
Shunsuke Saito, Lingyu Wei, Liwen Hu +2
We present a data-driven inference method that can synthesize a photorealistic texture map of a complete 3D face model given a partial 2D view of a person in the wild. After an ini…