12 papers · 1 filter
TGRHuman: Text-Guided Realistic 3D Human Generation via Diffusion Renderer
Muxin Zhang, Chaohui Yu, Yuanwang Yang +3
Realistic 3D human generation plays a crucial role in many graphics applications. However, current methods still struggle to generate high-quality human geometry and texture while…
IMPose: Interactive Multi-person Pose Estimation with Dynamic Correction Propagation
Haoyang Ge, Jian Ma, Ziwen Wang +5
High-quality dynamic human pose annotation equips AI with precise motion kinematics to enable human behavior mastery, yet remains labor-intensive and time-consuming. Current annota…
Stability-Driven Motion Generation for Object-Guided Human-Human Co-Manipulation
Jiahao Xu, Xiaohan Yuan, Xingchen Wu +3
Co-manipulation requires multiple humans to synchronize their motions with a shared object while ensuring reasonable interactions, maintaining natural poses, and preserving stable…
Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery
Minghao Sun, Chongyang Xu, Yitao Xie +2
Multi-person 3D reconstruction is pivotal for real-world interaction analysis, yet remains challenging due to severe occlusions and depth ambiguity. Current approaches typically re…
OAHuman: Occlusion-Aware 3D Human Reconstruction from Monocular Images
Yuanwang Yang, Hongliang Liu, Muxin Zhang +4
Monocular 3D human reconstruction in real-world scenarios remains highly challenging due to frequent occlusions from surrounding objects, people, or image truncation. Such occlusio…
FOF-X: Towards Real-time Detailed Human Reconstruction from a Single Image
Qiao Feng, Yuanwang Yang, Yebin Liu +3
We introduce FOF-X for real-time reconstruction of detailed human geometry from a single image. Balancing real-time speed against high-quality results is a persistent challenge, ma…
HumanCoser: Layered 3D Human Generation via Semantic-Aware Diffusion Model
Yi Wang, Jian Ma, Ruizhi Shao +3
This paper aims to generate physically-layered 3D humans from text prompts. Existing methods either generate 3D clothed humans as a whole or support only tight and simple clothing…
LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
Haoyang Ge, Qiao Feng, Hailong Jia +5
Human pose and shape (HPS) estimation with lensless imaging is not only beneficial to privacy protection but also can be used in covert surveillance scenarios due to the small size…
Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints
Muxin Zhang, Qiao Feng, Zhuo Su +3
3D human generation is increasingly significant in various applications. However, the direct use of 2D generative methods in 3D generation often results in losing local details, wh…
R2Human: Real-Time 3D Human Appearance Rendering from a Single Image
Yuanwang Yang, Qiao Feng, Yu-Kun Lai +1
Rendering 3D human appearance from a single image in real-time is crucial for achieving holographic communication and immersive VR/AR. Existing methods either rely on multi-camera…
Layered 3D Human Generation via Semantic-Aware Diffusion Model
Yi Wang, Jian Ma, Ruizhi Shao +4
The generation of 3D clothed humans has attracted increasing attention in recent years. However, existing work cannot generate layered high-quality 3D humans with consistent body s…
High-Quality Animatable Dynamic Garment Reconstruction from Monocular Videos
Xiongzheng Li, Jinsong Zhang, Yu-Kun Lai +2
Much progress has been made in reconstructing garments from an image or a video. However, none of existing works meet the expectations of digitizing high-quality animatable dynamic…