PS-FCN: A Flexible Learning Framework for Photometric Stereo

23 July 2018

Guanying Chen

Papers citing "PS-FCN: A Flexible Learning Framework for Photometric Stereo"

23 / 23 papers shown

Title
Learning Photometric Feature Transform for Free-form Object Scan Xiang-Wei Feng Kaizhang Kang Fan Pei Huakeng Ding Jinjiang You P. Tan Kun Zhou Hongzhi Wu 25 0 0 07 Aug 2023
MVPSNet: Fast Generalizable Multi-view Photometric Stereo Dongxu Zhao Daniel Lichy Pierre-Nicolas Perrin Jan-Michael Frahm Soumyadip Sengupta 3DV 26 15 0 18 May 2023
Deep Learning Methods for Calibrated Photometric Stereo and Beyond Yakun Ju K. Lam Wuyuan Xie Huiyu Zhou Junyu Dong Boxin Shi 16 35 0 16 Dec 2022
NeuralMPS: Non-Lambertian Multispectral Photometric Stereo via Spectral Reflectance Decomposition Jipeng Lv Heng Guo Guanying Chen Jinxiu Liang Boxin Shi 38 0 0 28 Nov 2022
PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism Satoshi Ikehata ViT 3DPC 34 26 0 21 Nov 2022
A CNN Based Approach for the Point-Light Photometric Stereo Problem Fotios Logothetis R. Mecca Ignas Budvytis R. Cipolla 3DPC 3DV 37 20 0 10 Oct 2022
NeIF: Representing General Reflectance as Neural Intrinsics Fields for Uncalibrated Photometric Stereo Zong-Han Li Qian Zheng Fei-Zhang Wang Boxin Shi Gang Pan Xudong Jiang 33 0 0 18 Aug 2022
Self-calibrating Photometric Stereo by Neural Inverse Rendering Junxuan Li Hongdong Li 3DV 38 27 0 16 Jul 2022
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images Ashish Tiwari Shanmuganathan Raman 32 10 0 05 Jul 2022
DeepShadow: Neural Shape from Shadow A. Karnieli Ohad Fried Y. Hel-Or 21 8 0 28 Mar 2022
Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement Ru Yang Yang Li D. Zeng Ping Guo 23 83 0 26 Oct 2021
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo Berk Kaya Suryansh Kumar Francesco Sarno V. Ferrari Luc Van Gool 3DV 24 33 0 11 Oct 2021
Incorporating Lambertian Priors into Surface Normals Measurement Yakun Ju Muwei Jian Shaoxiang Guo YingYu Wang Huiyu Zhou Junyu Dong 38 30 0 15 Jul 2021
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 100 33 0 03 Jun 2021
Shape and Material Capture at Home Daniel Lichy Jiaye Wu Soumyadip Sengupta David Jacobs 3DV 41 41 0 13 Apr 2021
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo David Honzátko Engin Turetken Pascal Fua L. A. Dunbar 3DV 30 13 0 22 Mar 2021
Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild Shivam Duggal Zihao Wang Wei-Chiu Ma S. Manivasagam Justin Liang Shenlong Wang R. Urtasun 3DV 68 25 0 18 Jan 2021
Learning Inter- and Intraframe Representations for Non-Lambertian Photometric Stereo Yanlong Cao Binjie Ding Zewei He Jiangxin Yang Jingxi Chen Yanpeng Cao Xin Li 19 13 0 26 Dec 2020
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces Berk Kaya Suryansh Kumar C. Oliveira V. Ferrari Luc Van Gool 27 49 0 12 Dec 2020
PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks Fotios Logothetis Ignas Budvytis R. Mecca R. Cipolla 3DV 3DPC 32 53 0 11 Aug 2020
Deep Shape from Polarization Yunhao Ba Alex Ross Gilbert Franklin Wang Jinfa Yang Rui Chen Yiqin Wang Lei Yan Boxin Shi A. Kadambi 22 14 0 25 Mar 2019
Self-calibrating Deep Photometric Stereo Networks Guanying Chen Kai Han Boxin Shi Y. Matsushita Kwan-Yee K. Wong 30 124 0 18 Mar 2019
Designing Deep Networks for Surface Normal Estimation Xinyu Wang David Fouhey Abhinav Gupta 3DV SSL 167 353 0 18 Nov 2014