7 papers
Giving Faces Their Feelings Back: Explicit Emotion Control for Feedforward Single-Image 3D Head Avatars
Yicheng Gong, Jiawei Zhang, Liqiang Liu +6
We present a framework for explicit emotion control in feed-forward, single-image 3D head avatar reconstruction. Unlike existing pipelines where emotion is implicitly entangled wit…
MASS: Mesh-inellipse Aligned Deformable Surfel Splatting for Hand Reconstruction and Rendering from Egocentric Monocular Video
Haoyu Zhu, Yi Zhang, Lei Yao +2
Reconstructing high-fidelity 3D hands from egocentric monocular videos remains a challenge due to the limitations in capturing high-resolution geometry, hand-object interactions, a…
UNICA: A Unified Neural Framework for Controllable 3D Avatars
Jiahe Zhu, Xinyao Wang, Yiyu Zhuang +4
Controllable 3D human avatars have found widespread applications in 3D games, the metaverse, and AR/VR scenarios. The conventional approach to creating such a 3D avatar requires a…
SpatialVID: A Large-Scale Video Dataset with Spatial Annotations
Jiahao Wang, Yufeng Yuan, Rujie Zheng +12
Significant progress has been made in spatial intelligence, spanning both spatial reconstruction and world exploration. However, the scalability and real-world fidelity of current…
DeX-Portrait: Disentangled and Expressive Portrait Animation via Explicit and Latent Motion Representations
Yuxiang Shi, Zhe Li, Yanwen Wang +3
Portrait animation from a single source image and a driving video is a long-standing problem. Recent approaches tend to adopt diffusion-based image/video generation models for real…
TEXTRIX: Latent Attribute Grid for Native Texture Generation and Beyond
Yifei Zeng, Yajie Bao, Jiachen Qian +7
Prevailing 3D texture generation methods, which often rely on multi-view fusion, are frequently hindered by inter-view inconsistencies and incomplete coverage of complex surfaces,…