3 papers
cs.CV2026
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…
cs.CV2026
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…
cs.CV2025
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…