no code implementations • CVPR 2023 • Bowen Cai, Jinchi Huang, Rongfei Jia, Chengfei Lv, Huan Fu
This paper studies implicit surface reconstruction leveraging differentiable ray casting.
no code implementations • 27 Nov 2022 • Bowen Cai, Yujie Li, Yuqin Liang, Rongfei Jia, Binqiang Zhao, Mingming Gong, Huan Fu
However, a drawback is that the synthesized views through Neural Fields Rendering (NFR) cannot reflect the simulated lighting details on R3DMs in PBR pipelines, especially when object interactions in the 3D scene creation cause local shadows.
1 code implementation • 11 Jul 2022 • Ben Xue, Shenghui Ran, Quan Chen, Rongfei Jia, Binqiang Zhao, Xing Tang
Image color harmonization algorithm aims to automatically match the color distribution of foreground and background images captured in different conditions.
Ranked #9 on Image Harmonization on iHarmony4
no code implementations • CVPR 2022 • Jian Zhang, Yuanqing Zhang, Huan Fu, Xiaowei Zhou, Bowen Cai, Jinchi Huang, Rongfei Jia, Binqiang Zhao, Xing Tang
Neural Radiance Fields (NeRF) have emerged as a potent paradigm for representing scenes and synthesizing photo-realistic images.
no code implementations • CVPR 2022 • Yu-Jie Yuan, Yang-tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Lin Gao
In this paper, we propose a method that allows users to perform controllable shape deformation on the implicit representation of the scene, and synthesizes the novel view images of the edited scene without re-training the network.
1 code implementation • CVPR 2022 • Yuanqing Zhang, Jiaming Sun, Xingyi He, Huan Fu, Rongfei Jia, Xiaowei Zhou
The key insight is that indirect illumination can be conveniently derived from the neural radiance field learned from input images instead of being estimated jointly with direct illumination and materials.
no code implementations • 24 Aug 2021 • Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv
We evaluate the performance of PCA and Fed-PCA using the MNIST dataset and a large industrial product recommendation dataset.
no code implementations • ICCV 2021 • Ming-Xian Lin, Jie Yang, He Wang, Yu-Kun Lai, Rongfei Jia, Binqiang Zhao, Lin Gao
Inspired by the great success in recent contrastive learning works on self-supervised representation learning, we propose a novel IBSR pipeline leveraging contrastive learning.
1 code implementation • 10 Dec 2020 • Bowen Cai, Huan Fu, Rongfei Jia, Binqiang Zhao, Hua Li, Yinghui Xu
Adapting semantic segmentation models to new domains is an important but challenging problem.
no code implementations • ICCV 2021 • Huan Fu, Bowen Cai, Lin Gao, LingXiao Zhang, Jiaming Wang Cao Li, Zengqi Xun, Chengyue Sun, Rongfei Jia, Binqiang Zhao, Hao Zhang
Currently, 3D-FRONT contains 18, 968 rooms diversely furnished by 3D objects, far surpassing all publicly available scene datasets.
no code implementations • NeurIPS 2020 • Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, DaCheng Tao
Image-based 3D shape retrieval (IBSR) aims to find the corresponding 3D shape of a given 2D image from a large 3D shape database.
no code implementations • 21 Sep 2020 • Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve Maybank, DaCheng Tao
The 3D CAD shapes in current 3D benchmarks are mostly collected from online model repositories.
3D Object Reconstruction From A Single Image 3D Shape Retrieval +4
no code implementations • 18 Feb 2020 • Yucheng Ding, Chaoyue Niu, Yikai Yan, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Rongfei Jia
We consider practical data characteristics underlying federated learning, where unbalanced and non-i. i. d.
1 code implementation • 6 Nov 2019 • Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen
Nevertheless, the "position" of a client's truly required submodel corresponds to her private data, and its disclosure to the cloud server during interactions inevitably breaks the tenet of federated learning.