2024-11: New open source project Tencent Hunyuan3D-1.0.
2024-10: Vidu4D is accepted by NeurIPS 2024.
2024-07: Two papers on 3D AIGC are accepted by ECCV 2024.
2024-05: New work: Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels.
2024-03: New work: accepted by IEEE Transactions on Cybernetics: Digital-Twin-Assisted Skill Learning for 3C Assembly Tasks.
Publications
* indicates equal contribution
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Tencent Hunyuan3D-1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
Xianghui Yang, Huiwen Shi, Bowen Zhang, Fan Yang, Jiacheng Wang, Hongxu Zhao, Xinhai Liu, Xinzhou Wang, Qingxiang Lin, Jiaao Yu, Lifu Wang, Zhuo Chen, Sicong Liu, Yuhong Liu, Yong Yang, Di Wang, Jie Jiang, Chunchao Guo
Arxiv, 2024
[arXiv]
[Code]
[Project Page]
We propose Tencent Hunyuan3D-1.0, a unified framework for text-to-3D and image-to-3D generation.
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AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation
and Reconstruction with Canonical Score Distillation
Xinzhou Wang,
Yikai Wang,
Junliang Ye,
Zhengyi Wang,
Fuchun Sun,
Pengkun Liu,
Ling Wang,
Kai Sun,
Xintong Wang,
Bin He
ECCV, 2024
[arXiv]
[Code]
[Project Page]
We propose AnimatableDreamer, a framework with the capability to generate generic categories of non-rigid 3D models.
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DreamReward: Aligning Human Preference in Text-to-3D Generation
Junliang Ye*,
Fangfu Liu*,
Qixiu Li,
Zhengyi Wang,
Yikai Wang,
Xinzhou Wang,
Yueqi Duan ,
Jun Zhu
ECCV, 2024
[arXiv]
[Code]
[Project Page]
We present a comprehensive framework, coined DreamReward, to
learn and improve text-to-3D models from human preference feedback.
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Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels
Yikai Wang*, Xinzhou Wang*, Zilong Chen, Zhengyi Wang, Fuchun Sun, Jun Zhu
NeurIPS, 2024
[arXiv]
[Code]
[Project Page]
[Youtube]
We present a Vidu4D, a framework to reconstruct high-fidelity 4D model from generated videos.
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Digital-Twin-Assisted Skill Learning for 3C Assembly Tasks
Fuchun Sun, Naijun Liu, Xinzhou Wang, Ruize Sun, Shengyi Miao, Zengxin Kang, Bin Fang, Huaping Liu, Yongjia Zhao, Haiming Huang
IEEE Transactions on Cybernetics.
[paper]
We present a digital twin with reinforce learning for sim-to-real 3C assembly task.
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Sim-to-Real 3C Assembly with Physics-Integrated Implicit Digital Twin
Xinzhou Wang, Fuchun Sun, Ling Wang, Kai Sun, Yuanyan Xie, Xintong Wang, Bin He, Huaidong Zhou
[arXiv]
We present a implict digital twin with physics engine for sim-to-real 3C assembly task.
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Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence
Ling Wang, Runfa Chen, Yikai Wang, Fuchun Sun, Xinzhou Wang, Sun Kai, Guangyuan Fu, Jianwei Zhang, Wenbing Huang
Submitted to IEEE Transactions on Image Processing, 2024
[arXiv]
We present a framework for unsupervised non-rigid point cloud shape correspondence registration, incorporating principles of equivariance.
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Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding
Pengkun Liu, Yikai Wang, Fuchun Sun, Jiafang Li, Hang Xiao, Hongxiang Xue, Xinzhou Wang
Arxiv, 2024
[arXiv]
[Code]
[Project Page]
We propose Isotropic3D, an image-to-3D generation pipeline that takes only an image CLIP embedding as input.
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Deep Learning Based Tongue Prickles Detection in Traditional Chinese Medicine
Xinzhou Wang, Siyan Luo, Guihua Tian, Xiangrong Rao, Bin He, Fuchun Sun
Evidence-Based Complementary and Alternative Medicine, 2022
[Paper]
We provides a quantitative perspective for symptoms and disease diagnosis according to tongue characteristics.
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Measurement Selection Method for Aero-engine Discrete Operating Conditions Gas Path Analysis
Xintong Wang, Xinzhou Wang
International Conference on Algorithms, Data Mining, and Information Technology (ADMIT), 2022
[Paper]
We provides a method for measurement selection of Aero-engine gas path analysis.
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Camouflaged Object Segmentation with Transformer
Haiwen Wang*, Xinzhou Wang*, Fuchun Sun, Yixu Song
Cognitive Systems and Information Processing, 2021
[Paper]
We provides a transformer for camouflaged object segmentation.
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