Tianxin Huang       School of Computing National University of Singapore (NUS) Email: 21725129 AT zju DOT edu DOT cn

Biography [CV]

I am currently a Research Fellow (Postdoc) in National University of Singapore (NUS), School of Computing, in which I am in collaboration with Prof. Gim Hee Lee in 3D Computer Vision. Before that, I received the 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 current research interests includes but not limited on:

3D Geometry Analysis, 3D Human Face Modeling, 3D Scene Understanding and Reconstruction

I am currently seeking research opportunities in Hong Kong, Singapore, Europe, and the U.S. If you believe we are a good fit, feel free to get in touch!

Recent News

Selected Publications [Google Scholar]

	Unified Geometry and Color Compression Framework for Point Clouds via Generative Diffusion Priors Tianxin Huang, Gim Hee Lee Arxiv [Project]
	GEAL: Generalizable 3D Affordance Learning with Cross-Modal Consistency Dongyue Lu, Lingdong Kong, Tianxin Huang, Gim Hee Lee CVPR'25 [Project]
	ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors. Tianxin Huang, Zhiwen Yan, Yuyang Zhao, Gim Hee Lee. ICLR'25 [project]
	Learning to Decouple the Lights for 3D Face Texture Modeling. Tianxin Huang, Zhenyu Zhang, Ying Tai, Gim Hee Lee. NeurIPS'24 [project]
	FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes. Yunsong Wang,Tianxin Huang, Hanlin Chen, Gim Hee Lee. NeurIPS'24 [Project]
	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]
	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 [paper|Code]
	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 [paper|Code]
	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 [paper|Code]
	Resolution-free Point Cloud Sampling Network with Data Distillation. Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu. ECCV'22 [paper|Code]
	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 [paper|Code]
	3D Point Cloud Geometry Compression on Deep Learning. Tianxin Huang, Yong Liu. ACM MM'19 Oral [paper]

Experiences

Feb. 2022 - Feb. 2023, Tencent Youtu.,Ltd. Internship, worked with: Dr. Zhenyu Zhang and Dr. Ying Tai

Professional Services

Talking