OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Learning to Reconstruct High-Quality 3D Shapes with Cascaded Fully Convolutional Networks
Yan‐Pei Cao, Zheng-Ning Liu, Zhengfei Kuang, et al.
Lecture notes in computer science (2018), pp. 626-643
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
Xian-Feng Han, Hamid Laga, Mohammed Bennamoun
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019) Vol. 43, Iss. 5, pp. 1578-1604
Open Access | Times Cited: 353

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
Jiale Xu, Xintao Wang, Weihao Cheng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 20908-20918
Open Access | Times Cited: 76

Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction
Bo Yang, Sen Wang, Andrew Markham, et al.
International Journal of Computer Vision (2019) Vol. 128, Iss. 1, pp. 53-73
Open Access | Times Cited: 123

A survey on deep geometry learning: From a representation perspective
Yunpeng Xiao, Yu‐Kun Lai, Fang‐Lue Zhang, et al.
Computational Visual Media (2020) Vol. 6, Iss. 2, pp. 113-133
Open Access | Times Cited: 95

RoutedFusion: Learning Real-Time Depth Map Fusion
Silvan Weder, Johannes L. Schönberger, Marc Pollefeys, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 4886-4896
Open Access | Times Cited: 74

VR content creation and exploration with deep learning: A survey
Miao Wang, Xu-Quan Lyu, Yi-Jun Li, et al.
Computational Visual Media (2020) Vol. 6, Iss. 1, pp. 3-28
Open Access | Times Cited: 68

SSRNet: Scalable 3D Surface Reconstruction Network
Zhenxing Mi, Yiming Luo, Wenbing Tao
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 967-976
Open Access | Times Cited: 57

Three-dimensional Shape Reconstruction from Single-shot Speckle Image Using Deep Convolutional Neural Networks
Hieu Nguyen, Tan Tran, Yuzeng Wang, et al.
Optics and Lasers in Engineering (2021) Vol. 143, pp. 106639-106639
Closed Access | Times Cited: 45

Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion
Peng‐Shuai Wang, Yang Liu, Xin Tong
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020), pp. 1074-1081
Open Access | Times Cited: 43

DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
Yiming Luo, Zhenxing Mi, Wenbing Tao
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 3, pp. 2277-2285
Open Access | Times Cited: 28

What's the Situation With Intelligent Mesh Generation: A Survey and Perspectives
Na Lei, Z J Li, Zebin Xu, et al.
IEEE Transactions on Visualization and Computer Graphics (2023) Vol. 30, Iss. 8, pp. 4997-5017
Open Access | Times Cited: 12

A survey of deep learning-based 3D shape generation
Qun‐Ce Xu, Tai‐Jiang Mu, Yong‐Liang Yang
Computational Visual Media (2023) Vol. 9, Iss. 3, pp. 407-442
Open Access | Times Cited: 10

3DeepCT: Learning Volumetric Scattering Tomography of Clouds
Yael Sde-Chen, Yoav Y. Schechner, Vadim Holodovsky, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021) Vol. 38, pp. 5651-5662
Closed Access | Times Cited: 18

Computer Vision – ECCV 2018
Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, et al.
Lecture notes in computer science (2018)
Closed Access | Times Cited: 21

High-Quality Textured 3D Shape Reconstruction with Cascaded Fully Convolutional Networks
Zheng-Ning Liu, Yan‐Pei Cao, Zhengfei Kuang, et al.
IEEE Transactions on Visualization and Computer Graphics (2019) Vol. 27, Iss. 1, pp. 83-97
Closed Access | Times Cited: 20

A Survey of Deep Learning-Based Mesh Processing
He Wang, Juyong Zhang
Communications in Mathematics and Statistics (2022) Vol. 10, Iss. 1, pp. 163-194
Closed Access | Times Cited: 10

Scalable Point Cloud-based Reconstruction with Local Implicit Functions
Sandro Lombardi, Martin R. Oswald, Marc Pollefeys
2021 International Conference on 3D Vision (3DV) (2020) Vol. 32, pp. 997-1007
Closed Access | Times Cited: 12

Deep3D reconstruction: methods, data, and challenges
Caixia Liu, Dehui Kong, Shaofan Wang, et al.
Frontiers of Information Technology & Electronic Engineering (2021) Vol. 22, Iss. 5, pp. 652-672
Closed Access | Times Cited: 11

Translating Words to Worlds: Zero-Shot Synthesis of 3D Terrain from Textual Descriptions Using Large Language Models
Guangzi Zhang, Lizhe Chen, Yu Zhang, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3257-3257
Open Access | Times Cited: 1

TopoNet: Topology Learning for 3D Reconstruction of Objects of Arbitrary Genus
Tarek Ben Charrada, Hedi Tabia, Aladine Chetouani, et al.
Computer Graphics Forum (2022) Vol. 41, Iss. 6, pp. 336-347
Closed Access | Times Cited: 7

DFusion: Denoised TSDF Fusion of Multiple Depth Maps with Sensor Pose Noises
Zhaofeng Niu, Yuichiro Fujimoto, Masayuki Kanbara, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1631-1631
Open Access | Times Cited: 4

FootNet: An Efficient Convolutional Network for Multiview 3D Foot Reconstruction
Felix Kok, James Charles, Roberto Cipolla
Lecture notes in computer science (2021), pp. 36-51
Closed Access | Times Cited: 5

Refining Single Low-Quality Facial Depth Map by Lightweight and Efficient Deep Model
Guodong Mu, Di Huang, Weixin Li, et al.
(2021), pp. 1-8
Closed Access | Times Cited: 4

RGBTSDF: An Efficient and Simple Method for Color Truncated Signed Distance Field (TSDF) Volume Fusion Based on RGB-D Images
Yunqiang Li, Shuowen Huang, Ying Chen, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3188-3188
Open Access

Structure learning for 3D Point Cloud Generation from Single RGB Images
Tarek Ben Charrada, Hamid Laga, Hedi Tabia
Computer Graphics Forum (2023) Vol. 42, Iss. 7
Closed Access | Times Cited: 1

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