5 citations · 10 across the 11 of their papers we have counts for
13 papers
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…
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…
DreamHead: Learning Spatial-Temporal Correspondence via Hierarchical Diffusion for Audio-driven Talking Head Synthesis
Fa-Ting Hong, Yunfei Liu, Yu Li +3
Audio-driven talking head synthesis strives to generate lifelike video portraits from provided audio. The diffusion model, recognized for its superior quality and robust generaliza…
Real-time High-resolution View Synthesis of Complex Scenes with Explicit 3D Visibility Reasoning
Tiansong Zhou, Yebin Liu, Xuangeng Chu +4
Rendering photo-realistic novel-view images of complex scenes has been a long-standing challenge in computer graphics. In recent years, great research progress has been made on enh…
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…
DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation
Junming Chen, Yunfei Liu, Jianan Wang +3
We propose DiffSHEG, a Diffusion-based approach for Speech-driven Holistic 3D Expression and Gesture generation with arbitrary length. While previous works focused on co-speech ges…
A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing
Maomao Li, Yu Li, Tianyu Yang +4
This paper presents a video inversion approach for zero-shot video editing, which models the input video with low-rank representation during the inversion process. The existing vid…
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…
Audio-Driven 3D Facial Animation from In-the-Wild Videos
Liying Lu, Tianke Zhang, Yunfei Liu +2
Given an arbitrary audio clip, audio-driven 3D facial animation aims to generate lifelike lip motions and facial expressions for a 3D head. Existing methods typically rely on train…