collaborators

6 papers

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023

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…