5 citations · 8 across the 12 of their papers we have counts for
11 papers · 1 filter
GRAPE: Graduated Routing for Articulated Portrait mesh Estimation
Yunfei Liu, Lijian Lin, Ye Zhu +1
Articulated portrait mesh estimation is fundamental to 3D understanding, avatar generation, and immersive interaction. Existing approaches primarily rely on 3D Morphable Models (3D…
PEAR: Pixel-aligned Expressive humAn mesh Recovery
Jiahao Wu, Yunfei Liu, Lijian Lin +4
Reconstructing detailed 3D human meshes from a single in-the-wild image remains a fundamental challenge in computer vision. Existing SMPLX-based methods often suffer from slow infe…
MANGO:Natural Multi-speaker 3D Talking Head Generation via 2D-Lifted Enhancement
Lei Zhu, Lijian Lin, Ye Zhu +5
Current audio-driven 3D head generation methods mainly focus on single-speaker scenarios, lacking natural, bidirectional listen-and-speak interaction. Achieving seamless conversati…
CanonSwap: High-Fidelity and Consistent Video Face Swapping via Canonical Space Modulation
Xiangyang Luo, Ye Zhu, Yunfei Liu +5
Video face swapping aims to address two primary challenges: effectively transferring the source identity to the target video and accurately preserving the dynamic attributes of the…
GUAVA: Generalizable Upper Body 3D Gaussian Avatar
Dongbin Zhang, Yunfei Liu, Lijian Lin +5
Reconstructing a high-quality, animatable 3D human avatar with expressive facial and hand motions from a single image has gained significant attention due to its broad application…
HRAvatar: High-Quality and Relightable Gaussian Head Avatar
Dongbin Zhang, Yunfei Liu, Lijian Lin +5
Reconstructing animatable and high-quality 3D head avatars from monocular videos, especially with realistic relighting, is a valuable task. However, the limited information from si…
TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction
Yunfei Liu, Lei Zhu, Lijian Lin +3
3D facial reconstruction from a single in-the-wild image is a crucial task in human-centered computer vision tasks. While existing methods can recover accurate facial shapes, there…
Identity-Preserving Video Dubbing Using Motion Warping
Runzhen Liu, Qinjie Lin, Yunfei Liu +5
Video dubbing aims to synthesize realistic, lip-synced videos from a reference video and a driving audio signal. Although existing methods can accurately generate mouth shapes driv…
Qffusion: Controllable Portrait Video Editing via Quadrant-Grid Attention Learning
Maomao Li, Lijian Lin, Yunfei Liu +2
This paper presents Qffusion, a dual-frame-guided framework for portrait video editing. Specifically, we consider a design principle of ``animation for editing'', and train Qffusio…
GPAvatar: Generalizable and Precise Head Avatar from Image(s)
Xuangeng Chu, Yu Li, Ailing Zeng +4
Head avatar reconstruction, crucial for applications in virtual reality, online meetings, gaming, and film industries, has garnered substantial attention within the computer vision…
MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions
Yunfei Liu, Lijian Lin, Fei Yu +2
Audio-driven portrait animation aims to synthesize portrait videos that are conditioned by given audio. Animating high-fidelity and multimodal video portraits has a variety of appl…