activity
20232026
most citedSOAP: Style-Omniscient Animatable Portraits

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation

Zhenyu Xie, Ji Xia, Michael Kampffmeyer +9

Controllable character animation has advanced rapidly in recent years, yet multi-character animation remains underexplored. As the number of characters grows, multi-character refer…

cs.CV2025★ 1 cited

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.…

cs.CV2025

DiffPortrait360: Consistent Portrait Diffusion for 360 View Synthesis

Yuming Gu, Phong Tran, Yujian Zheng +4

Generating high-quality 360-degree views of human heads from single-view images is essential for enabling accessible immersive telepresence applications and scalable personalized c…

cs.CV2024★ 1 cited

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…

cs.CV2023

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…