Fetching the paper…
Reading the bibliography…
We present Spann3R, a novel approach for dense 3D reconstruction from ordered or unordered image collections.
Human memory: A proposed system and its control processes
Richard C Atkinson and Richard M Shiffrin · 1968
Earlier work this paper cites.
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 · 2000
Earlier work this paper cites.
Multiple view geometry in computer vision
Richard Hartley and Andrew Zisserman · 2003
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
Earlier work this paper cites.
Photo tourism: exploring photo collections in 3d
Noah Snavely, Steven M Seitz, and Richard Szeliski · 2006
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.
Speeded-up robust features (surf)
Herbert Bay, Andreas Ess, Tinne Tuytelaars, and Luc Van Gool · 2008
Earlier work this paper cites.
Building rome in a day
Sameer Agarwal, Noah Snavely, Ian Simon, Steven M Seitz, and Richard Szeliski · 2009
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.
Discrete-continuous optimization for large-scale structure from motion
David Crandall, Andrew Owens, Noah Snavely, and Dan Huttenlocher · 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.
Multicore bundle adjustment
Changchang Wu, Sameer Agarwal, Brian Curless, and Steven M Seitz · 2011
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.
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.
Jason Weston, Sumit Chopra, and Antoine Bordes · 2014
Earlier work this paper cites.
Robust global translations with 1dsfm
Kyle Wilson and Noah Snavely · 2014
Earlier work this paper cites.
Massively parallel multiview stereopsis by surface normal diffusion
Silvano Galliani, Katrin Lasinger, and Konrad Schindler · 2015
Earlier work this paper cites.
Orb-slam: a versatile and accurate monocular slam system
Raul Mur-Artal, Jose Maria Martinez Montiel, and Juan D Tardos · 2015
Earlier work this paper cites.
End-to-end memory networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, and Rob Fergus · 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.
Large-scale data for multiple-view stereopsis
Henrik Aanæs, Rasmus Ramsbøl Jensen, George Vogiatzis, Engin Tola, and Anders Bjorholm Dahl · 2016
Earlier work this paper cites.
A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Nikolaus Mayer, Eddy Ilg, Philip Hausser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, and Thomas Brox · 2016
Earlier work this paper cites.
Key-value memory networks for directly reading documents
Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston · 2016
Earlier work this paper cites.
Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
Earlier work this paper cites.
Pixelwise view selection for unstructured multi-view stereo
Johannes L Schönberger, Enliang Zheng, Jan-Michael Frahm, and Marc Pollefeys · 2016
Earlier work this paper cites.
Lift: Learned invariant feature transform
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, and Pascal Fua · 2016
Cited alongside, same era.
Dsac-differentiable ransac for camera localization
Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, and Carsten Rother · 2017
Cited alongside, same era.
Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
Cited alongside, same era.
Direct sparse odometry
Jakob Engel, Vladlen Koltun, and Daniel Cremers · 2017
Cited alongside, same era.
A multi-view stereo benchmark with high-resolution images and multi-camera videos
Thomas Schops, Johannes L Schonberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and Andreas Geiger · 2017
Cited alongside, same era.
Codeslam—learning a compact, optimisable representation for dense visual slam
Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
Later among the works it cites.
Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model
Ho Kei Cheng and Alexander G Schwing · 2022
Later among the works it cites.
Simplerecon: 3d reconstruction without 3d convolutions
Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, and Clément Godard · 2022
Later among the works it cites.
Nice-slam: Neural implicit scalable encoding for slam
Zihan Zhu, Songyou Peng, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R Oswald, and Marc Pollefeys · 2022
Later among the works it cites.
Zip-nerf: Anti-aliased grid-based neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2023
Later among the works it cites.
Nope-nerf: Optimising neural radiance field with no pose prior
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, and Andrew J Davison · 2018
Cited alongside, same era.
Superpoint: Self-supervised interest point detection and description
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2018
Cited alongside, same era.
Megadepth: Learning single-view depth prediction from internet photos
Zhengqi Li and Noah Snavely · 2018
Cited alongside, same era.
Mvsnet: Depth inference for unstructured multi-view stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
Cited alongside, same era.
Video object segmentation using space-time memory networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim · 2019
Cited alongside, same era.
Habitat: A platform for embodied ai research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, et al · 2019
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Wenjing Bian, Zirui Wang, Kejie Li, Jia-Wang Bian, and Victor Adrian Prisacariu · 2023
Later among the works it cites.
Accelerated coordinate encoding: Learning to relocalize in minutes using rgb and poses
Eric Brachmann, Tommaso Cavallari, and Victor Adrian Prisacariu · 2023
Later among the works it cites.
Learning a depth covariance function
Eric Dexheimer and Andrew J Davison · 2023
Later among the works it cites.
Tapir: Tracking any point with per-frame initialization and temporal refinement
Carl Doersch, Yi Yang, Mel Vecerik, Dilara Gokay, Ankush Gupta, Yusuf Aytar, Joao Carreira, and Andrew Zisserman · 2023
Later among the works it cites.
Cotracker: It is better to track together
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, and Christian Rupprecht · 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.
vmap: Vectorised object mapping for neural field slam
Xin Kong, Shikun Liu, Marwan Taher, and Andrew J Davison · 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.
Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam
Hengyi Wang, Jingwen Wang, and Lourdes Agapito · 2023
Later among the works it cites.
Croco v2: Improved cross-view completion pre-training for stereo matching and optical flow
Philippe Weinzaepfel, Thomas Lucas, Vincent Leroy, Yohann Cabon, Vaibhav Arora, Romain Brégier, Gabriela Csurka, Leonid Antsfeld, Boris Chidlovskii, and Jérôme Revaud · 2023
Later among the works it cites.
Frozenrecon: Pose-free 3d scene reconstruction with frozen depth models
Guangkai Xu, Wei Yin, Hao Chen, Chunhua Shen, Kai Cheng, and Feng Zhao · 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.
Metric3d: Towards zero-shot metric 3d prediction from a single image
Wei Yin, Chi Zhang, Hao Chen, Zhipeng Cai, Gang Yu, Kaixuan Wang, Xiaozhi Chen, and Chunhua Shen · 2023
Later among the works it cites.
Eric Brachmann, Jamie Wynn, Shuai Chen, Tommaso Cavallari, Áron Monszpart, Daniyar Turmukhambetov, and Victor Adrian Prisacariu · 2024
Closest in time.
Putting the object back into video object segmentation
Ho Kei Cheng, Seoung Wug Oh, Brian Price, Joon-Young Lee, and Alexander Schwing · 2024
Closest in time.
Detector-free structure from motion
Xingyi He, Jiaming Sun, Yifan Wang, Sida Peng, Qixing Huang, Hujun Bao, and Xiaowei Zhou · 2024
Closest in time.
Nvist: In the wild new view synthesis from a single image with transformers
Wonbong Jang and Lourdes Agapito · 2024
Closest in time.
Repurposing diffusion-based image generators for monocular depth estimation
Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, and Konrad Schindler · 2024
Closest in time.
Splatam: Splat track & map 3d gaussians for dense rgb-d slam
Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian Scherer, Deva Ramanan, and Jonathon Luiten · 2024
Closest in time.
Gaussian splatting slam
Hidenobu Matsuki, Riku Murai, Paul HJ Kelly, and Andrew J Davison · 2024
Closest in time.
Global structure-from-motion revisited
Linfei Pan, Dániel Baráth, Marc Pollefeys, and Johannes Lutz Schönberger · 2024
Closest in time.
Sacreg: Scene-agnostic coordinate regression for visual localization
Jerome Revaud, Yohann Cabon, Romain Brégier, JongMin Lee, and Philippe Weinzaepfel · 2024
Closest in time.
Moviechat: From dense token to sparse memory for long video understanding
Enxin Song, Wenhao Chai, Guanhong Wang, Yucheng Zhang, Haoyang Zhou, Feiyang Wu, Haozhe Chi, Xun Guo, Tian Ye, Yanting Zhang, et al · 2024
Closest in time.
Spatialtracker: Tracking any 2d pixels in 3d space
Yuxi Xiao, Qianqian Wang, Shangzhan Zhang, Nan Xue, Sida Peng, Yujun Shen, and Xiaowei Zhou · 2024
Closest in time.