95 citations · 95 across the 10 of their papers we have counts for
10 papers
VEPHand: View-Efficient Photometric Hand Performance Capture at Scale
Zhengyang Shen, Kai-Hung Chang, Erroll Wood +18
Robust, high-fidelity 3D hand capture, while fundamental to digital human creation, remains challenging with practical multi-view systems that balance rich photometry with the geom…
Archon: A Unified Multimodal Model for Holistic Digital Human Generation
Chong Bao, Shichen Liu, Lijun Yu +9
Digital humans are fundamental to immersive interaction, yet creating a unified model for holistic modalities, including text, audio, motion, and visual content, remains an open ch…
Talking Together: Synthesizing Co-Located 3D Conversations from Audio
Mengyi Shan, Shouchieh Chang, Ziqian Bai +6
We tackle the challenging task of generating complete 3D facial animations for two interacting, co-located participants from a mixed audio stream. While existing methods often prod…
LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field
Huan Wang, Feitong Tan, Ziqian Bai +9
Recent works have shown that neural radiance fields (NeRFs) on top of parametric models have reached SOTA quality to build photorealistic head avatars from a monocular video. Howev…
Evaluating the Visual Similarity of Southwest China's Ethnic Minority Brocade Based on Deep Learning
Shichen Liu, Huaxing Lu
This paper employs deep learning methods to investigate the visual similarity of ethnic minority patterns in Southwest China. A customized SResNet-18 network was developed, achievi…
Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes
Ziqian Bai, Feitong Tan, Sean Fanello +5
3D head avatars built with neural implicit volumetric representations have achieved unprecedented levels of photorealism. However, the computational cost of these methods remains a…
MVDD: Multi-View Depth Diffusion Models
Zhen Wang, Qiangeng Xu, Feitong Tan +6
Denoising diffusion models have demonstrated outstanding results in 2D image generation, yet it remains a challenge to replicate its success in 3D shape generation. In this paper,…
NeRD: Neural 3D Reflection Symmetry Detector
Yichao Zhou, Shichen Liu, Yi Ma
Recent advances have shown that symmetry, a structural prior that most objects exhibit, can support a variety of single-view 3D understanding tasks. However, detecting 3D symmetry…
Equivariant Point Network for 3D Point Cloud Analysis
Haiwei Chen, Shichen Liu, Weikai Chen +1
Features that are equivariant to a larger group of symmetries have been shown to be more discriminative and powerful in recent studies. However, higher-order equivariant features o…
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Gao Huang, Shichen Liu, Laurens van der Maaten +1
Deep neural networks are increasingly used on mobile devices, where computational resources are limited. In this paper we develop CondenseNet, a novel network architecture with unp…