10 papers · 1 filter
Mix3R: Mixing Feed-forward Reconstruction and Generative 3D Priors for Joint Multi-view Aligned 3D Reconstruction and Pose Estimation
Siyou Lin, Zhou Xue, Hongwen Zhang +4
Recent trends in sparse-view 3D reconstruction have taken two different paths: feed-forward reconstruction that predicts pixel-aligned point maps without a complete geometry, and g…
GeoDiff4D: Geometry-Aware Diffusion for 4D Head Avatar Reconstruction
Chao Xu, Xiaochen Zhao, Xiang Deng +4
Reconstructing photorealistic and animatable 4D head avatars from a single portrait image remains a fundamental challenge in computer vision. While diffusion models have enabled re…
U-Mind: A Unified Framework for Real-Time Multimodal Interaction with Audiovisual Generation
Xiang Deng, Feng Gao, Yong Zhang +5
Full-stack multimodal interaction in real-time is a central goal in building intelligent embodied agents capable of natural, dynamic communication. However, existing systems are ei…
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…
DevilSight: Augmenting Monocular Human Avatar Reconstruction through a Virtual Perspective
Yushuo Chen, Ruizhi Shao, Youxin Pang +4
We present a novel framework to reconstruct human avatars from monocular videos. Recent approaches have struggled either to capture the fine-grained dynamic details from the input…
Parametric Gaussian Human Model: Generalizable Prior for Efficient and Realistic Human Avatar Modeling
Cheng Peng, Jingxiang Sun, Yushuo Chen +3
Photorealistic and animatable human avatars are a key enabler for virtual/augmented reality, telepresence, and digital entertainment. While recent advances in 3D Gaussian Splatting…