Search Results for author: Zhou Xue

Found 9 papers, 7 papers with code

Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph

1 code implementation14 Mar 2024 Donglin Di, Jiahui Yang, Chaofan Luo, Zhou Xue, Wei Chen, Xun Yang, Yue Gao

Our framework is anchored by a well-established mainflow and an essential module, named ``Geometry and Texture Hypergraph Refiner (HGRefiner)''.

3D Generation Text to 3D

OHTA: One-shot Hand Avatar via Data-driven Implicit Priors

no code implementations29 Feb 2024 Xiaozheng Zheng, Chao Wen, Zhuo Su, Zeran Xu, Zhaohu Li, Yang Zhao, Zhou Xue

In this paper, we delve into the creation of one-shot hand avatars, attaining high-fidelity and drivable hand representations swiftly from a single image.

Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints

no code implementations14 Dec 2023 Muxin Zhang, Qiao Feng, Zhuo Su, Chao Wen, Zhou Xue, Kun Li

In this work, we introduce Joint2Human, a novel method that leverages 2D diffusion models to generate detailed 3D human geometry directly, ensuring both global structure and local details.

3D Generation

Reconstructing Interacting Hands with Interaction Prior from Monocular Images

1 code implementation ICCV 2023 Binghui Zuo, Zimeng Zhao, Wenqian Sun, Wei Xie, Zhou Xue, Yangang Wang

Our key idea is to first construct a two-hand interaction prior and recast the interaction reconstruction task as the conditional sampling from the prior.

Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling

1 code implementation ICCV 2023 Xiaozheng Zheng, Zhuo Su, Chao Wen, Zhou Xue, Xiaojie Jin

To bridge the physical and virtual worlds for rapidly developed VR/AR applications, the ability to realistically drive 3D full-body avatars is of great significance.

Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image

1 code implementation ICCV 2023 Pengfei Ren, Chao Wen, Xiaozheng Zheng, Zhou Xue, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao

On the other hand, there are complex spatial relationship between interacting hands, which significantly increases the solution space of hand poses and increases the difficulty of network learning.

3D Hand Pose Estimation 3D Interacting Hand Pose Estimation

HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning

1 code implementation ICCV 2023 Xiaozheng Zheng, Chao Wen, Zhou Xue, Pengfei Ren, Jingyu Wang

Recent advancements in 3D hand pose estimation have shown promising results, but its effectiveness has primarily relied on the availability of large-scale annotated datasets, the creation of which is a laborious and costly process.

3D Hand Pose Estimation Self-Supervised Learning

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