Fetching the paper…
Reading the bibliography…
Dense 3D scene reconstruction from an ordered sequence or unordered image collections is a critical step when bringing research in computer vision into practical scenarios.
Object recognition from local scale-invariant features
David G Lowe · 1999
Earlier work this paper cites.
Bundle adjustment—a modern synthesis
Bill Triggs, Philip F McLauchlan, Richard I Hartley, and Andrew W Fitzgibbon · 1999
Earlier work this paper cites.
A critique of structure-from-motion algorithms
John Oliensis · 2000
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
Earlier work this paper cites.
Monoslam: Real-time single camera slam
Andrew J Davison, Ian D Reid, Nicholas D Molton, and Olivier Stasse · 2007
Earlier work this paper cites.
Parallel tracking and mapping for small ar workspaces
Georg Klein and David Murray · 2007
Earlier work this paper cites.
Accurate, dense, and robust multiview stereopsis
Yasutaka Furukawa and Jean Ponce · 2009
Earlier work this paper cites.
Bundle adjustment in the large
Sameer Agarwal, Noah Snavely, Steven M Seitz, and Richard Szeliski · 2010
Earlier work this paper cites.
Building rome in a day
Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M Seitz, and Richard Szeliski · 2011
Earlier work this paper cites.
Kinectfusion: Real-time dense surface mapping and tracking
Richard A Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J Davison, Pushmeet Kohi, Jamie Shotton, Steve Hodges, and Andrew Fitzgibbon · 2011
Earlier work this paper cites.
Dtam: Dense tracking and mapping in real-time
Richard A Newcombe, Steven J Lovegrove, and Andrew J Davison · 2011
Earlier work this paper cites.
Orb: An efficient alternative to sift or surf
Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary Bradski · 2011
Earlier work this paper cites.
A naturalistic open source movie for optical flow evaluation
Daniel J Butler, Jonas Wulff, Garrett B Stanley, and Michael J Black · 2012
Earlier work this paper cites.
Sfm with mrfs: Discrete-continuous optimization for large-scale structure from motion
David J Crandall, Andrew Owens, Noah Snavely, and Daniel P Huttenlocher · 2012
Earlier work this paper cites.
Indoor segmentation and support inference from rgbd images
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, and Rob Fergus · 2012
Earlier work this paper cites.
A benchmark for the evaluation of rgb-d slam systems
Jürgen Sturm, Nikolas Engelhard, Felix Endres, Wolfram Burgard, and Daniel Cremers · 2012
Earlier work this paper cites.
Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
Earlier work this paper cites.
Scene coordinate regression forests for camera relocalization in rgb-d images
Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, and Andrew Fitzgibbon · 2013
Earlier work this paper cites.
Towards linear-time incremental structure from motion
Changchang Wu · 2013
Earlier work this paper cites.
Lsd-slam: Large-scale direct monocular slam
Jakob Engel, Thomas Schöps, and Daniel Cremers · 2014
Earlier work this paper cites.
Robust global translations with 1dsfm
Kyle Wilson and Noah Snavely · 2014
Earlier work this paper cites.
Multi-view stereo: A tutorial
Yasutaka Furukawa, Carlos Hernández, et al · 2015
Earlier work this paper cites.
Optimizing the viewing graph for structure-from-motion
Chris Sweeney, Torsten Sattler, Tobias Hollerer, Matthew Turk, and Marc Pollefeys · 2015
Earlier work this paper cites.
3d-r2n2: A unified approach for single and multi-view 3d object reconstruction
Christopher B Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
Earlier work this paper cites.
Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
Earlier work this paper cites.
Pixelwise view selection for unstructured multi-view stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
Earlier work this paper cites.
Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
Cited alongside, same era.
Superpoint: Self-supervised interest point detection and description
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2018
Cited alongside, same era.
Deepmvs: Learning multi-view stereopsis
Po-Han Huang, Kevin Matzen, Johannes Kopf, Narendra Ahuja, and Jia-Bin Huang · 2018
Cited alongside, same era.
Megadepth: Learning single-view depth prediction from internet photos
Zhengqi Li and Noah Snavely · 2018
Cited alongside, same era.
Ba-net: Dense bundle adjustment network
Chengzhou Tang and Ping Tan · 2018
Cited alongside, same era.
Mvsnet: Depth inference for unstructured multi-view stereo
Geo-neus: Geometry-consistent neural implicit surfaces learning for multi-view reconstruction
Qiancheng Fu, Qingshan Xu, Yew Soon Ong, and Wenbing Tao · 2022
Later among the works it cites.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
Later among the works it cites.
Clustergnn: Cluster-based coarse-to-fine graph neural network for efficient feature matching
Yan Shi, Jun-Xiong Cai, Yoli Shavit, Tai-Jiang Mu, Wensen Feng, and Kai Zhang · 2022
Later among the works it cites.
Croco: Self-supervised pre-training for 3d vision tasks by cross-view completion
Philippe Weinzaepfel, Vincent Leroy, Thomas Lucas, Romain Brégier, Yohann Cabon, Vaibhav Arora, Leonid Antsfeld, Boris Chidlovskii, Gabriela Csurka, and Jérôme Revaud · 2022
Later among the works it cites.
Nerfusion: Fusing radiance fields for large-scale scene reconstruction
Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, and Zexiang Xu · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
Cited alongside, same era.
D2-net: A trainable cnn for joint description and detection of local features
Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, and Torsten Sattler · 2019
Cited alongside, same era.
Refusion: 3d reconstruction in dynamic environments for rgb-d cameras exploiting residuals
Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguere, and Cyrill Stachniss · 2019
Cited alongside, same era.
Yohann Cabon, Naila Murray, and Martin Humenberger · 2020
Cited alongside, same era.
Cascade cost volume for high-resolution multi-view stereo and stereo matching
Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, and Ping Tan · 2020
Cited alongside, same era.
Superglue: Learning feature matching with graph neural networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2020
Cited alongside, same era.
Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al · 2020
Cited alongside, same era.
Structure and motion from casual videos
Zhoutong Zhang, Forrester Cole, Zhengqi Li, Michael Rubinstein, Noah Snavely, and William T Freeman · 2022
Later among the works it cites.
Tri-perspective view for vision-based 3d semantic occupancy prediction
Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, and Jiwen Lu · 2023
Later among the works it cites.
3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
Later among the works it cites.
Lightglue: Local feature matching at light speed
Philipp Lindenberger, Paul-Edouard Sarlin, and Marc Pollefeys · 2023
Later among the works it cites.
Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo
Lukas Mehl, Jenny Schmalfuss, Azin Jahedi, Yaroslava Nalivayko, and Andrés Bruhn · 2023
Later among the works it cites.
Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation
Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, et al · 2023
Later among the works it cites.
Scannet++: A high-fidelity dataset of 3d indoor scenes
Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, and Angela Dai · 2023
Later among the works it cites.
Pointodyssey: A large-scale synthetic dataset for long-term point tracking
Yang Zheng, Adam W Harley, Bokui Shen, Gordon Wetzstein, and Leonidas J Guibas · 2023
Later among the works it cites.
Rotary position embedding for vision transformer
Byeongho Heo, Song Park, Dongyoon Han, and Sangdoo Yun · 2024
Later among the works it cites.
Grounding image matching in 3d with mast3r
Vincent Leroy, Yohann Cabon, and Jérôme Revaud · 2024
Later among the works it cites.
Roformer: Enhanced transformer with rotary position embedding
Jianlin Su, Murtadha Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, and Yunfeng Liu · 2024
Later among the works it cites.
3d reconstruction with spatial memory
Hengyi Wang and Lourdes Agapito · 2024
Later among the works it cites.
Vggsfm: Visual geometry grounded deep structure from motion
Jianyuan Wang, Nikita Karaev, Christian Rupprecht, and David Novotny · 2024
Later among the works it cites.
Dust3r: Geometric 3d vision made easy
Shuzhe Wang, Vincent Leroy, Yohann Cabon, Boris Chidlovskii, and Jerome Revaud · 2024
Later among the works it cites.
Rgbd objects in the wild: scaling real-world 3d object learning from rgb-d videos
Hongchi Xia, Yang Fu, Sifei Liu, and Xiaolong Wang · 2024
Later among the works it cites.
Monst3r: A simple approach for estimating geometry in the presence of motion
Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, Trevor Darrell, Forrester Cole, Deqing Sun, and Ming-Hsuan Yang · 2024
Later among the works it cites.
Occworld: Learning a 3d occupancy world model for autonomous driving
Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, Borui Zhang, Yueqi Duan, and Jiwen Lu · 2024
Later among the works it cites.
Mast3r-slam: Real-time dense slam with 3d reconstruction priors
Riku Murai, Eric Dexheimer, and Andrew J Davison · 2025
Closest in time.
Vggt: Visual geometry grounded transformer, 2025
Jianyuan Wang, Minghao Chen, Nikita Karaev, Andrea Vedaldi, Christian Rupprecht, and David Novotny · 2025
Closest in time.
Continuous 3d perception model with persistent state, 2025
Qianqian Wang, Yifei Zhang, Aleksander Holynski, Alexei A. Efros, and Angjoo Kanazawa · 2025
Closest in time.
Fast3r: Towards 3d reconstruction of 1000+ images in one forward pass
Jianing Yang, Alexander Sax, Kevin J Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, and Matt Feiszli · 2025
Closest in time.