Fetching the paper…
Reading the bibliography…
We present a method that simultaneously addresses the tasks of dynamic scene novel-view synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements.
The computation of optical flow
Steven S. Beauchemin and John L. Barron · 1995
Earlier work this paper cites.
Optical models for direct volume rendering
Nelson Max · 1995
Earlier work this paper cites.
Three-dimensional scene flow
Sundar Vedula, Simon Baker, Peter Rander, Robert Collins, and Takeo Kanade · 1999
Earlier work this paper cites.
Surface splatting
Matthias Zwicker, Hanspeter Pfister, Jeroen Van Baar, and Markus Gross · 2001
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
Earlier work this paper cites.
Map visibility estimation for large-scale dynamic 3d reconstruction
Hanbyul Joo, Hyun Soo Park, and Yaser Sheikh · 2014
Earlier work this paper cites.
Panoptic studio: A massively multiview system for social motion capture
Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh · 2015
Earlier work this paper cites.
Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time
Richard A Newcombe, Dieter Fox, and Steven M Seitz · 2015
Earlier work this paper cites.
A benchmark dataset and evaluation methodology for video object segmentation
F. Perazzi, J. Pont-Tuset, B. McWilliams, L. Van Gool, M. Gross, and A. Sorkine-Hornung · 2016
Earlier work this paper cites.
Hand keypoint detection in single images using multiview bootstrapping
Tomas Simon, Hanbyul Joo, and Yaser Sheikh · 2017
Earlier work this paper cites.
Killingfusion: Non-rigid 3d reconstruction without correspondences
Miroslava Slavcheva, Maximilian Baust, Daniel Cremers, and Slobodan Ilic · 2017
Earlier work this paper cites.
Robust dense mapping for large-scale dynamic environments
Ioan Andrei Bârsan, Peidong Liu, Marc Pollefeys, and Andreas Geiger · 2018
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
Mots: Multi-object tracking and segmentation
Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, and Bastian Leibe · 2019
Earlier work this paper cites.
Track to reconstruct and reconstruct to track
Jonathon Luiten, Tobias Fischer, and Bastian Leibe · 2020
Earlier work this paper cites.
Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
Earlier work this paper cites.
Neural radiance flow for 4d view synthesis and video processing
Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B Tenenbaum, and Jiajun Wu · 2021
Cited alongside, same era.
The ninth visual object tracking vot2021 challenge results
Matej Kristan, Jiří Matas, Aleš Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin, Alan Lukežič, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, and Gustavo Fernández · 2021
Cited alongside, same era.
Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
Cited alongside, same era.
D-nerf: Neural radiance fields for dynamic scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2021
Cited alongside, same era.
Space-time neural irradiance fields for free-viewpoint video
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, and Changil Kim · 2021
Cited alongside, same era.
Banmo: Building animatable 3d neural models from many casual videos
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, and Hanbyul Joo · 2022
Later among the works it cites.
Differentiable point-based radiance fields for efficient view synthesis
Qiang Zhang, Seung-Hwan Baek, Szymon Rusinkiewicz, and Felix Heide · 2022
Later among the works it cites.
Neural pixel composition for 3d-4d view synthesis from multi-views
Aayush Bansal and Michael Zollhoefer · 2023
Closest in time.
Hexplane: A fast representation for dynamic scenes
Ang Cao and Justin Johnson · 2023
Closest in time.
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
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jad Abou-Chakra, Feras Dayoub, and Niko Sünderhauf · 2022
Cited alongside, same era.
Tap-vid: A benchmark for tracking any point in a video
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adria Recasens Continente, Kucas Smaira, Yusuf Aytar, Joao Carreira, Andrew Zisserman, and Yi Yang · 2022
Cited alongside, same era.
Fast dynamic radiance fields with time-aware neural voxels
Jiemin Fang, Taoran Yi, Xinggang Wang, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Matthias Nießner, and Qi Tian · 2022
Cited alongside, same era.
Monocular dynamic view synthesis: A reality check
Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, and Angjoo Kanazawa · 2022
Cited alongside, same era.
Particle video revisited: Tracking through occlusions using point trajectories
Adam W. Harley, Zhaoyuan Fang, and Katerina Fragkiadaki · 2022
Cited alongside, same era.
Approximate differentiable rendering with algebraic surfaces
Leonid Keselman and Martial Hebert · 2022
Cited alongside, same era.
Tava: Template-free animatable volumetric actors
Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhofer, Jurgen Gall, Angjoo Kanazawa, and Christoph Lassner · 2022
Cited alongside, same era.
Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, and Angjoo Kanazawa · 2023
Closest in time.
Humanrf: High-fidelity neural radiance fields for humans in motion
Mustafa Işık, Martin Rünz, Markos Georgopoulos, Taras Khakhulin, Jonathan Starck, Lourdes Agapito, and Matthias Nießner · 2023
Closest in time.
Cotracker: It is better to track together
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, and Christian Rupprecht · 2023
Closest in time.
3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkuehler, and George Drettakis · 2023
Closest in time.
Robust dynamic radiance fields
Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, and Jia-Bin Huang · 2023
Closest in time.
Sergey Prokudin, Qianli Ma, Maxime Raafat, Julien Valentin, and Siyu Tang · 2023
Closest in time.
Total-recon: Deformable scene reconstruction for embodied view synthesis
Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, and Deva Ramanan · 2023
Closest in time.
Suds: Scalable urban dynamic scenes
Haithem Turki, Jason Y Zhang, Francesco Ferroni, and Deva Ramanan · 2023
Closest in time.
Tracking everything everywhere all at once
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, and Noah Snavely · 2023
Closest in time.
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
Closest in time.