3D 视觉 - arXivDaily 专题

2006.12356 2020-06-23 cs.CV 57%

Generative Sparse Detection Networks for 3D Single-shot Object Detection

JunYoung Gwak, Christopher Choy, Silvio Savarese

专题命中三维重建：point cloud(abstract)；分类 cs.CV

2006.10705 2020-06-19 cs.LG cs.CV stat.ML 57%

Set Distribution Networks: a Generative Model for Sets of Images

Shuangfei Zhai, Walter Talbott, Miguel Angel Bautista, Carlos Guestrin, Josh M. Susskind

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

2006.10042 2020-06-18 cs.CV cs.LG 57%

Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction

Yichao Zhou, Shichen Liu, Yi Ma

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

2006.08710 2020-06-17 cs.CV cs.LG eess.IV 57%

HyperFlow: Representing 3D Objects as Surfaces

Przemysław Spurek, Maciej Zięba, Jacek Tabor, Tomasz Trzciński

专题命中三维重建：point cloud(abstract)；分类 cs.CV

2006.08586 2020-06-16 cs.CV 57%

Coherent Reconstruction of Multiple Humans from a Single Image

Wen Jiang, Nikos Kolotouros, Georgios Pavlakos, Xiaowei Zhou, Kostas Daniilidis

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

Comments CVPR 2020. Project Page: https://jiangwenpl.github.io/multiperson/

2001.04642 2020-06-16 cs.CV 57%

Seeing the World in a Bag of Chips

Jeong Joon Park, Aleksander Holynski, Steve Seitz

专题命中三维重建：novel view synthesis(abstract)；分类 cs.CV

Comments CVPR 2020

2002.04455 2020-06-09 eess.IV cs.CV 57%

HRINet: Alternative Supervision Network for High-resolution CT image Interpolation

Jiawei Li, Jae Chul Koh, Won-Sook Lee

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

1912.10659 2020-06-09 cs.CV 57%

Graph-Based Parallel Large Scale Structure from Motion

Yu Chen, Shuhan Shen, Yisong Chen, Guoping Wang

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

Comments In submission to Pattern Recognition 2020

2005.00363 2020-06-09 cs.CV 57%

M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network

Baichuan Huang, Hongwei Yi, Can Huang, Yijia He, Jingbin Liu, Xiao Liu

专题命中三维重建：point cloud(abstract)；分类 cs.CV

Comments The original top-level version is arXiv:2004.09722v2 but I upload the similar version to arXiv:2005.00363 mistakenly, which is overlapped with arXiv:2004.09722v2. So the submission is to make the two addresses keeping the same version

2005.14169 2020-05-29 cs.CV 57%

Self-supervised Modal and View Invariant Feature Learning

Longlong Jing, Yucheng Chen, Ling Zhang, Mingyi He, Yingli Tian

专题命中三维重建：point cloud(abstract)；分类 cs.CV

2005.13605 2020-05-29 cs.CV cs.LG eess.IV 57%

D2D: Keypoint Extraction with Describe to Detect Approach

Yurun Tian, Vassileios Balntas, Tony Ng, Axel Barroso-Laguna, Yiannis Demiris, Krystian Mikolajczyk

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

2004.09722 2020-05-29 cs.CV cs.LG 57%

M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network

Baichuan Huang, Hongwei Yi, Can Huang, Yijia He, Jingbin Liu, Xiao Liu

专题命中三维重建：point cloud(abstract)；分类 cs.CV

Comments Welcome to communicate with the author by the repo https://github.com/whubaichuan/M3VSNet

2005.07298 2020-05-18 cs.CV 57%

DeepFaceFlow: In-the-wild Dense 3D Facial Motion Estimation

Mohammad Rami Koujan, Anastasios Roussos, Stefanos Zafeiriou

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

Comments to be published in the IEEE conference on Computer Vision and Pattern Recognition (CVPR). 2020

2005.03286 2020-05-08 cs.MM cs.CV 57%

Multi-view data capture using edge-synchronised mobiles

Matteo Bortolon, Paul Chippendale, Stefano Messelodi, Fabio Poiesi

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

2004.06302 2020-05-05 cs.CV cs.LG 57%

Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors

Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders Eriksson, Eugene Belilovsky

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

2001.07832 2020-05-05 cs.CV cs.LG 57%

LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching

Angfan Zhu, Jiaqi Yang, Weiyue Zhao, Zhiguo Cao

专题命中三维重建：point cloud(abstract)；分类 cs.CV

Comments 28 pages, 14 figures

1905.07442 2020-05-05 cs.GR cs.LG 57%

Transport-Based Neural Style Transfer for Smoke Simulations

Byungsoo Kim, Vinicius C. Azevedo, Markus Gross, Barbara Solenthaler

专题命中三维重建：3D reconstruction(abstract)；分类 cs.GR

Comments ACM Transaction on Graphics (SIGGRAPH ASIA 2019), additional materials: http://www.byungsoo.me/project/neural-flow-style

Journal ref ACM Trans. Graph. 38, 6, Article 188 (November 2019), 11 pages

2003.10071 2020-04-21 cs.CV 57%

ASLFeat: Learning Local Features of Accurate Shape and Localization

Zixin Luo, Lei Zhou, Xuyang Bai, Hongkai Chen, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

Comments Accepted to CVPR 2020, supplementary materials included, code available

1910.00130 2020-04-21 cs.CV 57%

Track to Reconstruct and Reconstruct to Track

Jonathon Luiten, Tobias Fischer, Bastian Leibe

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

Comments RA-L 2020 and ICRA 2020

Journal ref IEEE Robotics and Automation Letters 5.2 (2020): 1803-1810

2004.07973 2020-04-20 cs.RO 57%

Estimating Motion Uncertainty with Bayesian ICP

Fahira Afzal Maken, Fabio Ramos, Lionel Ott

专题命中三维重建：point cloud(abstract)；分类 cs.RO

Comments 6 pages, submitted to ICRA 2019

1911.07401 2020-04-15 cs.CV 57%

SSRNet: Scalable 3D Surface Reconstruction Network

Zhenxing Mi, Yiming Luo, Wenbing Tao

专题命中三维重建：point cloud(abstract)；分类 cs.CV

Comments Accepted by CVPR2020, typos corrected, references added, images revised

1911.10127 2020-04-14 cs.CV 57%

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, Long Quan

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

Comments Accepted to CVPR2020

2004.03385 2020-04-08 cs.CV cs.LG stat.ML 57%

Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method

J. Matias Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

2001.04388 2020-04-06 cs.CV 57%

RoutedFusion: Learning Real-time Depth Map Fusion

Silvan Weder, Johannes L. Schönberger, Marc Pollefeys, Martin R. Oswald

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

Comments 11 pages, 8 figures, accepted to CVPR 2020

2004.01176 2020-04-03 cs.CV 57%

Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image

Despoina Paschalidou, Luc van Gool, Andreas Geiger

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

Comments To appear at CVPR 2020, project page https://github.com/paschalidoud/hierarchical_primitives

2002.00569 2020-03-31 cs.CV 57%

DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data

Wei Yin, Xinlong Wang, Chunhua Shen, Yifan Liu, Zhi Tian, Songcen Xu, Changming Sun, Dou Renyin

专题命中三维重建：point cloud(abstract)；分类 cs.CV

Comments Fixed typos

2003.12406 2020-03-30 cs.CV 57%

Learning Implicit Surface Light Fields

Michael Oechsle, Michael Niemeyer, Lars Mescheder, Thilo Strauss, Andreas Geiger

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

2003.00619 2020-03-30 cs.CV 57%

Extremely Dense Point Correspondences using a Learned Feature Descriptor

Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath

专题命中三维重建：3D reconstruction(abstract)；分类 cs.CV

Comments The work has been accepted for publication in CVPR 2020

2003.01661 2020-03-27 cs.CV 57%

Unsupervised Learning of Intrinsic Structural Representation Points

Nenglun Chen, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, Wenping Wang

专题命中三维重建：point cloud(abstract)；分类 cs.CV

Comments Accepted by CVPR 2020

2002.00349 2020-03-27 cs.CV 57%

Adversarial Generation of Continuous Implicit Shape Representations

Marian Kleineberg, Matthias Fey, Frank Weichert

专题命中三维重建：point cloud(abstract)；分类 cs.CV

Comments Published in Eurographics 2020 - Short Papers

1. 三维重建 4395 篇

Generative Sparse Detection Networks for 3D Single-shot Object Detection

Set Distribution Networks: a Generative Model for Sets of Images

Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction

HyperFlow: Representing 3D Objects as Surfaces

Coherent Reconstruction of Multiple Humans from a Single Image

Seeing the World in a Bag of Chips

HRINet: Alternative Supervision Network for High-resolution CT image Interpolation

Graph-Based Parallel Large Scale Structure from Motion

M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network

Self-supervised Modal and View Invariant Feature Learning

D2D: Keypoint Extraction with Describe to Detect Approach

M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network

DeepFaceFlow: In-the-wild Dense 3D Facial Motion Estimation

Multi-view data capture using edge-synchronised mobiles

Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors

LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching

Transport-Based Neural Style Transfer for Smoke Simulations

ASLFeat: Learning Local Features of Accurate Shape and Localization

Track to Reconstruct and Reconstruct to Track

Estimating Motion Uncertainty with Bayesian ICP

SSRNet: Scalable 3D Surface Reconstruction Network

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method

RoutedFusion: Learning Real-time Depth Map Fusion

Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image

DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data

Learning Implicit Surface Light Fields

Extremely Dense Point Correspondences using a Learned Feature Descriptor

Unsupervised Learning of Intrinsic Structural Representation Points

Adversarial Generation of Continuous Implicit Shape Representations