5 papers
FlexAvatar: Flexible Large Reconstruction Model for Animatable Gaussian Head Avatars with Detailed Deformation
Cheng Peng, Zhuo Su, Liao Wang +7
We present FlexAvatar, a flexible large reconstruction model for high-fidelity 3D head avatars with detailed dynamic deformation from single or sparse images, without requiring cam…
POLAR: A Portrait OLAT Dataset and Generative Framework for Illumination-Aware Face Modeling
Zhuo Chen, Chengqun Yang, Zhuo Su +5
Face relighting aims to synthesize realistic portraits under novel illumination while preserving identity and geometry. However, progress remains constrained by the limited availab…
EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs
Zhen Fan, Peng Dai, Zhuo Su +6
Egocentric human pose estimation (HPE) using wearable sensors is essential for VR/AR applications. Most methods rely solely on either egocentric-view images or sparse Inertial Meas…
EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling
Songpengcheng Xia, Yu Zhang, Zhuo Su +7
Estimating full-body motion using the tracking signals of head and hands from VR devices holds great potential for various applications. However, the sparsity and unique distributi…
HeadGAP: Few-Shot 3D Head Avatar via Generalizable Gaussian Priors
Xiaozheng Zheng, Chao Wen, Zhaohu Li +9
In this paper, we present a novel 3D head avatar creation approach capable of generalizing from few-shot in-the-wild data with high-fidelity and animatable robustness. Given the un…