236 citations · 253 across the 10 of their papers we have counts for
10 papers
ASTRA: Asynchronous Spatio-Temporal Reconstruction via Trajectory Alignment
Junyu Zhu, Hao Zhu, Xinzhuo Zhang +4
Dynamic 3D scene reconstruction has made significant progress with multi-camera systems, often relying on temporally aligned observations across views. However, in real-world scena…
AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation
Yifei Zeng, Yuanxun Lu, Xinya Ji +3
We introduce AvatarBooth, a novel method for generating high-quality 3D avatars using text prompts or specific images. Unlike previous approaches that can only synthesize avatars b…
High-Fidelity 3D Face Generation from Natural Language Descriptions
Menghua Wu, Hao Zhu, Linjia Huang +3
Synthesizing high-quality 3D face models from natural language descriptions is very valuable for many applications, including avatar creation, virtual reality, and telepresence. Ho…
NeAI: A Pre-convoluted Representation for Plug-and-Play Neural Ambient Illumination
Yiyu Zhuang, Qi Zhang, Xuan Wang +5
Recent advances in implicit neural representation have demonstrated the ability to recover detailed geometry and material from multi-view images. However, the use of simplified lig…
RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs
Longwei Guo, Hao Zhu, Yuanxun Lu +2
We propose a robust and accurate non-parametric method for single-view 3D face reconstruction (SVFR). While tremendous efforts have been devoted to parametric SVFR, a visible gap s…
DINER: Disorder-Invariant Implicit Neural Representation
Shaowen Xie, Hao Zhu, Zhen Liu +4
Implicit neural representation (INR) characterizes the attributes of a signal as a function of corresponding coordinates which emerges as a sharp weapon for solving inverse problem…
Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function
Yunze Xiao, Hao Zhu, Haotian Yang +3
Recovering detailed facial geometry from a set of calibrated multi-view images is valuable for its wide range of applications. Traditional multi-view stereo (MVS) methods adopt an…
CIGLI: Conditional Image Generation from Language & Image
Xiaopeng Lu, Lynnette Ng, Jared Fernandez +1
Multi-modal generation has been widely explored in recent years. Current research directions involve generating text based on an image or vice versa. In this paper, we propose a ne…
Detailed Avatar Recovery from Single Image
Hao Zhu, Xinxin Zuo, Haotian Yang +3
This paper presents a novel framework to recover \emph{detailed} avatar from a single image. It is a challenging task due to factors such as variations in human shapes, body poses,…
Learned Point Cloud Geometry Compression
Jianqiang Wang, Hao Zhu, Zhan Ma +3
This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (a.k.a., Learned-PCGC) framework, to efficiently compress the point cloud geometry (PCG) using deep…