Tianxin Huang
School of Computing and Data Science |
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I am currently a Postdoc Fellow in the University of Kong Kong (HKU), School of Computing and Data Science (CDS) and Institute of Data Science (IDS), working with Prof. Shenghua Gao and Prof. Yi Ma . Before that, I was a Research Fellow (Postdoc) in National University of Singapore (NUS), School of Computing, with Prof. Gim Hee Lee . I earned my Doctor's Degree at April Lab, Zhejiang University (ZJU), under the supervision of Prof. Yong Liu. I received the Bachelor degree in Mechanical Engineering from Xi'an Jiaotong University (XJTU) in 2017. My esearch interests includes but not limited on:
3D Geometry Analysis, 3D Human Face Modeling, 3D Scene Understanding, 3D/4D World Generation
Feb, 2025 | One paper GEAL is accepted by CVPR 2025! Congratulation to Dongyue! |
Jan, 2025 | One paper ComPC is accepted by ICLR 2025! Congratulation to all the co-authors! |
Sep, 2024 | Three papers (Deface, FreeSplat, VCR-Gaus) are accepted by NeurIPS 2024! Congratulation to all the co-authors! |
March, 2024 | Two papers are accepted by CVPR 2024! |
June, 2023 | I join the group led by Gim Hee Lee as a Research Fellow (Postdoc)! |
March, 2023 | One paper is accepted by CVPR 2023! |
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FreeSplat++: Generalizable 3D Gaussian Splatting for Efficient Indoor Scene Reconstruction
Yunsong Wang,Tianxin Huang, Hanlin Chen, Gim Hee Lee.
Arxiv
[Project]
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Unified Geometry and Color Compression Framework for Point Clouds via Generative Diffusion Priors
Tianxin Huang, Gim Hee Lee
Arxiv
[Project]
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GEAL: Generalizable 3D Affordance Learning with Cross-Modal Consistency
Dongyue Lu, Lingdong Kong, Tianxin Huang, Gim Hee Lee
CVPR'25
[Project]
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ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors.
Tianxin Huang, Zhiwen Yan, Yuyang Zhao, Gim Hee Lee.
ICLR'25
[project]
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Learning to Decouple the Lights for 3D Face Texture Modeling.
Tianxin Huang, Zhenyu Zhang, Ying Tai, Gim Hee Lee.
NeurIPS'24
[project]
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FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes.
Yunsong Wang,Tianxin Huang, Hanlin Chen, Gim Hee Lee.
NeurIPS'24
[Project]
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VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction.
Hanlin Chen, Fangyin Wei, Chen Li, Tianxin Huang, Yunsong Wang, Gim Hee Lee
NeurIPS'24
[Project]
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Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space.
Tianxin Huang, Zhonggan Ding, Jiangning Zhang, Ying Tai, Zhenyu Zhang, Mingang Chen, Chengjie Wang, Yong Liu.
CVPR'23
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3QNet: 3D Point Cloud Geometry Quantization Compression Network.
Tianxin Huang, Jiangning Zhang, Jun Chen, Zhonggan Ding, Ying Tai, Zhenyu Zhang, Chengjie Wang, Yong Liu.
Siggraph Asia'22/TOG
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RFNet: Recurrent Forward Network for Dense Point Cloud Completion.
Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning ZHang, Yi Yuan, Yifan Xu, Yong Liu.
ICCV'21
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Resolution-free Point Cloud Sampling Network with Data Distillation.
Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu.
ECCV'22
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Learning to Train a Point Cloud Reconstruction Network without Matching.
Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu.
ECCV'22
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3D Point Cloud Geometry Compression on Deep Learning.
Tianxin Huang, Yong Liu.
ACM MM'19 Oral
[paper]
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Feb. 2022 - Feb. 2023, Tencent Youtu.,Ltd. Internship, worked with: Dr. Zhenyu Zhang and Dr. Ying Tai |
2020-2021 | The First International Forum on 3D Optical Sensing and Applications | 3D POINT CLOUD GEOMETRY COMPRESSION BASED ON DEEP LEARNING |