3 citations · 8 across the 12 of their papers we have counts for
12 papers · 1 filter
UNICA: A Unified Neural Framework for Controllable 3D Avatars
Jiahe Zhu, Xinyao Wang, Yiyu Zhuang +4
Controllable 3D human avatars have found widespread applications in 3D games, the metaverse, and AR/VR scenarios. The conventional approach to creating such a 3D avatar requires a…
CrowdGaussian: Reconstructing High-Fidelity 3D Gaussians for Human Crowd from a Single Image
Yizheng Song, Yiyu Zhuang, Qipeng Xu +5
Single-view 3D human reconstruction has garnered significant attention in recent years. Despite numerous advancements, prior research has concentrated on reconstructing 3D models f…
Pressure2Motion: Hierarchical Human Motion Reconstruction from Ground Pressure with Text Guidance
Zhengxuan Li, Qinhui Yang, Yiyu Zhuang +7
We present Pressure2Motion, a novel motion capture algorithm that reconstructs human motion from a ground pressure sequence and text prompt. At inference time, Pressure2Motion requ…
Sketch2PoseNet: Efficient and Generalized Sketch to 3D Human Pose Prediction
Li Wang, Yiyu Zhuang, Yanwen Wang +4
3D human pose estimation from sketches has broad applications in computer animation and film production. Unlike traditional human pose estimation, this task presents unique challen…
TeRA: Rethinking Text-guided Realistic 3D Avatar Generation
Yanwen Wang, Yiyu Zhuang, Jiawei Zhang +5
In this paper, we rethink text-to-avatar generative models by proposing TeRA, a more efficient and effective framework than the previous SDS-based models and general large 3D gener…
IDOL: Instant Photorealistic 3D Human Creation from a Single Image
Yiyu Zhuang, Jiaxi Lv, Hao Wen +7
Creating a high-fidelity, animatable 3D full-body avatar from a single image is a challenging task due to the diverse appearance and poses of humans and the limited availability of…
Towards Native Generative Model for 3D Head Avatar
Yiyu Zhuang, Yuxiao He, Jiawei Zhang +6
Creating 3D head avatars is a significant yet challenging task for many applicated scenarios. Previous studies have set out to learn 3D human head generative models using massive 2…
Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°
Yuxiao He, Yiyu Zhuang, Yanwen Wang +6
Creating a 360° parametric model of a human head is a very challenging task. While recent advancements have demonstrated the efficacy of leveraging synthetic data for building such…
Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail
Yiyu Zhuang, Qi Zhang, Ying Feng +6
We present LoD-NeuS, an efficient neural representation for high-frequency geometry detail recovery and anti-aliased novel view rendering. Drawing inspiration from voxel-based repr…
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…
MoFaNeRF: Morphable Facial Neural Radiance Field
Yiyu Zhuang, Hao Zhu, Xusen Sun +1
We propose a parametric model that maps free-view images into a vector space of coded facial shape, expression and appearance with a neural radiance field, namely Morphable Facial…