Feng Wang

I'm a now a final-year Ph.D. student at Tsinghua University. My research interests lie in 3D reconstruction/generation, representation learning, self-supervised learning, etc.

Google Scholar GitHub Email: fwangeve@foxmail.com

Publication (Google Scholar)

* denotes equal contribution.

	V3D: Video Diffusion Models are Effective 3D Generators Zilong Chen, Yikai Wang, Feng Wang, Zhengyi Wang, Huaping Liu. arxiv, 2024 Project Page / GitHub / arXiv Explore the connection between video diffusion models and 3D generation
	Text-to-3D using Gaussian Splatting Zilong Chen, Feng Wang†, Yikai Wang, Huaping Liu†. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Project Page / GitHub / arXiv
	GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting Yiwen Chen, Zilong Chen, Chi Zhang, Feng Wang, Xiaofeng Yang, Yikai Wang, Zhongang Cai, Lei Yang, Huaping Liu, Guosheng Lin. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 project page / GitHub / arXiv
	Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jifeng Dai†. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 arXiv / GitHub
	Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction Feng Wang, Zilong Chen, Guokang Wang, Yafei Song, Huaping Liu†. Advances in Neural Information Processing Systems (NeurIPS), 2023, Spotlight project page / GitHub / arXiv A novel method for efficiently reconstructing dynamic 3D scenes from multi-view or monocular videos, with only 20 minutes for achieving sota results.
	Mixed Neural Voxels for Fast Multi-view Video Synthesis Feng Wang, Sinan Tan, Xinghang Li, Zeyue Tian, Yafei Song, Huaping Liu†. International Conference on Computer Vision (ICCV), 2023, Oral project page / GitHub / arXiv A novel method for efficiently reconstructing dynamic 3D scenes.
	Self-supervised learning by estimating twin class distributions Feng Wang, Tao Kong, Xinghang Li, Rufeng Zhang, Huaping Liu†. Hang Li. IEEE Transactions on Image Processing (TIP), 2023 GitHub / arXiv A theoretical explainable self-supervised learning method by classifying unlabeled datasets.
	Understanding the Behaviour of Contrastive Loss Feng Wang, Huaping Liu†. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Paper We analyze the behaviours of the contrastive loss and explain the effect of temperature.
	Unsupervised Representation Learning by Invariance Propagation Feng Wang, Huaping Liu†. Di Guo. Fuchun Sun. Advances in Neural Information Processing Systems (NeurIPS), 2020, Spotlight Paper / GitHub
	Sound-indicated visual object detection for robotic exploration Feng Wang, Di Guo. Huaping Liu†. Junfeng Zhou. Fuchun Sun. International Conference on Robotics and Automation (ICRA), 2019 Paper

Open source project (GitHub)

	3d-gaussian-splatting Feng Wang GitHub An unofficial implmentation of 3D Gaussian Splatting, released before the official version. We implement the CUDA kernel of the rasterizer and the training strategy through pytorch.
	Segment Anything in NeRF Feng Wang, Zilong Chen GitHub SAM-NeRF: A Simple Baseline for Segmenting Anything in NeRF with Language Prompts.

This page is based on Jon Barron's template. Thank Jon Barron for sharing.