Fetching the paper…
Reading the bibliography…
Neural rendering is fuelling a unification of learning, 3D geometry and video understanding that has been waiting for more than two decades.
Distinctive image features from scale-invariant keypoints
David G. Lowe · 2004
Earlier work this paper cites.
HumanEva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion
Leonid Sigal, Alexandru O. Balan, and Michael J. Black · 2010
Earlier work this paper cites.
You-do, i-learn: Discovering task relevant objects and their modes of interaction from multi-user egocentric video
Dima Damen, Teesid Leelasawassuk, Osian Haines, Andrew Calway, and Walterio Mayol-Cuevas · 2014
Earlier work this paper cites.
Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
Egocentric future localization
Hyun Soo Park, Jyh-Jing Hwang, Yedong Niu, and Jianbo Shi · 2016
Earlier work this paper cites.
Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
Earlier work this paper cites.
The 2017 davis challenge on video object segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alex Sorkine-Hornung, and Luc Van Gool · 2017
Earlier work this paper cites.
Gslam: Initialization-robust monocular visual slam via global structure-from-motion
Chengzhou Tang, Oliver Wang, and Ping Tan · 2017
Earlier work this paper cites.
An evaluation of trajectory prediction approaches and notes on the trajnet benchmark
Stefan Becker, Ronny Hug, Wolfgang Hübner, and Michael Arens · 2018
Earlier work this paper cites.
Scaling egocentric vision: The epic-kitchens dataset
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, et al · 2018
Earlier work this paper cites.
Vins-mono: A robust and versatile monocular visual-inertial state estimator
Tong Qin, Peiliang Li, and Shaojie Shen · 2018
Earlier work this paper cites.
Youtube-vos: A large-scale video object segmentation benchmark
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas S. Huang · 2018
Earlier work this paper cites.
Video object segmentation using space-time memory networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim · 2019
Earlier work this paper cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Earlier work this paper cites.
Scene representation networks: Continuous 3D-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2019
Earlier work this paper cites.
AIST dance video database: Multi-genre, multi-dancer, and multi-camera database for dance information processing
Shuhei Tsuchida, Satoru Fukayama, Masahiro Hamasaki, and Masataka Goto · 2019
Earlier work this paper cites.
Immersive light field video with a layered mesh representation
Michael Broxton, John Flynn, Ryan S. Overbeck, Daniel Erickson, Peter Hedman, Matthew DuVall, Jason Dourgarian, Jay Busch, Matt Whalen, and Paul E. Debevec · 2020
Earlier work this paper cites.
Long-term human motion prediction with scene context
Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, and Jitendra Malik · 2020
Earlier work this paper cites.
Generative hybrid representations for activity forecasting with no-regret learning
Jiaqi Guan, Ye Yuan, Kris M Kitani, and Nicholas Rhinehart · 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.
Ego-topo: Environment affordances from egocentric video
Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, and Kristen Grauman · 2020
Earlier work this paper cites.
Deformable neural radiance fields
Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Steven M. Seitz, and Ricardo Martin-Brualla · 2020
Earlier work this paper cites.
Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, and Xiaowei Zhou · 2020
Earlier work this paper cites.
Novel view synthesis of dynamic scenes with globally coherent depths from a monocular camera
Jae Shin Yoon, Kihwan Kim, Orazio Gallo, Hyun Soo Park, and Jan Kautz · 2020
Earlier work this paper cites.
Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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
Earlier work this paper cites.
Dynamic view synthesis from dynamic monocular video
Chen Gao, Ayush Saraf, Johannes Kopf, and Jia-Bin Huang · 2021
Cited alongside, same era.
Neural human performer: Learning generalizable radiance fields for human performance rendering
Youngjoong Kwon, Dahun Kim, Duygu Ceylan, and Henry Fuchs · 2021
Cited alongside, same era.
Learn to dance with AIST++: Music conditioned 3d dance generation
Ruilong Li, Shan Yang, David A. Ross, and Angjoo Kanazawa · 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.
Deep 3d mask volume for view synthesis of dynamic scenes
Kai-En Lin, Lei Xiao, Feng Liu, Guowei Yang, and Ravi Ramamoorthi · 2021
Cited alongside, same era.
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Monocular dynamic view synthesis: A reality check
Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, and Angjoo Kanazawa · 2022
Later among the works it cites.
Ego4d: Around the world in 3,000 hours of egocentric video
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, et al · 2022
Later among the works it cites.
Neural deformable voxel grid for fast optimization of dynamic view synthesis
Xiang Guo, Guanying Chen, Yuchao Dai, Xiaoqing Ye, Jiadai Sun, Xiao Tan, and Errui Ding · 2022
Later among the works it cites.
Decomposing nerf for editing via feature field distillation
Sosuke Kobayashi, Eiichi Matsumoto, and Vincent Sitzmann · 2022
Later among the works it cites.
Panoptic neural fields: A semantic object-aware neural scene representation
Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, and Thomas A. Funkhouser · 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…
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
Cited alongside, same era.
Neural scene graphs for dynamic scenes
Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, and Felix Heide · 2021
Cited alongside, same era.
Nerfies: Deformable neural radiance fields
Keunhong Park, Utkarsh Sinha, Jonathan T Barron, Sofien Bouaziz, Dan B Goldman, Steven M Seitz, and Ricardo Martin-Brualla · 2021
Cited alongside, same era.
Hypernerf: a higher-dimensional representation for topologically varying neural radiance fields
Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Ricardo Martin-Brualla, and Steven M. Seitz · 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.
Frankmocap: A monocular 3d whole-body pose estimation system via regression and integration
Yu Rong, Takaaki Shiratori, and Hanbyul Joo · 2021
Cited alongside, same era.
Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Hervé Jégou · 2021
Cited alongside, same era.
Language-driven semantic segmentation
Boyi Li, Kilian Q Weinberger, Serge Belongie, Vladlen Koltun, and Rene Ranftl · 2022
Later among the works it cites.
Neural 3D video synthesis from multi-view video
Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard A. Newcombe, and Zhaoyang Lv · 2022
Later among the works it cites.
Devrf: Fast deformable voxel radiance fields for dynamic scenes
Jia-Wei Liu, Yan-Pei Cao, Weijia Mao, Wenqiao Zhang, David Junhao Zhang, Jussi Keppo, Ying Shan, Xiaohu Qie, and Mike Zheng Shou · 2022
Later among the works it cites.
Laterf: Label and text driven object radiance fields
Ashkan Mirzaei, Yash Kant, Jonathan Kelly, and Igor Gilitschenski · 2022
Later among the works it cites.
Neural Feature Fusion Fields: 3D distillation of self-supervised 2D image representation
Vadim Tschernezki, Iro Laina, Diane Larlus, and Andrea Vedaldi · 2022
Later among the works it cites.
Dm-nerf: 3d scene geometry decomposition and manipulation from 2d images
Bing Wang, Lu Chen, and Bo Yang · 2022
Later among the works it cites.
Fourier PlenOctrees for dynamic radiance field rendering in real-time
Liao Wang, Jiakai Zhang, Xinhang Liu, Fuqiang Zhao, Yanshun Zhang, Yingliang Zhang, Minye Wu, Jingyi Yu, and Lan Xu · 2022
Later among the works it cites.
D 2 nerf: Self-supervised decoupling of dynamic and static objects from a monocular video
Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, and Cengiz Oztireli · 2022
Later among the works it cites.
Decoupling features in hierarchical propagation for video object segmentation
Zongxin Yang and Yi Yang · 2022
Later among the works it cites.
Unsupervised discovery of object radiance fields
Hong-Xing Yu, Leonidas Guibas, and Jiajun Wu · 2022
Later among the works it cites.
Hexplane: A fast representation for dynamic scenes
Ang Cao and Justin Johnson · 2023
Closest in time.
NeRF-SOS: Any-view self-supervised object segmentation on complex scenes
Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, and Zhangyang Wang · 2023
Closest in time.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
Closest in time.
Dynibar: Neural dynamic image-based rendering
Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, and Noah Snavely · 2023
Closest in time.
Semantic attention flow fields for monocular dynamic scene decomposition
Yiqing Liang, Eliot Laidlaw, Alexander Meyerowitz, Srinath Sridhar, and James Tompkin · 2023
Closest in time.
K-planes: Explicit radiance fields in space, time, and appearance
Sara Fridovich-Keil and Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, and Angjoo Kanazawa · 2023
Closest in time.
Neural groundplans: Persistent neural scene representations from a single image
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Fredo Durand, Joshua B. Tenenbaum, and Vincent Sitzmann · 2023
Closest in time.
Panoptic lifting for 3d scene understanding with neural fields
Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Norman Müller, Matthias Nießner, Angela Dai, and Peter Kontschieder · 2023
Closest in time.
Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields
Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, and Andreas Geiger · 2023
Closest in time.
Egodistill: Egocentric head motion distillation for efficient video understanding
Shuhan Tan, Tushar Nagarajan, and Kristen Grauman · 2023
Closest in time.
Nerflets: Local radiance fields for efficient structure-aware 3d scene representation from 2d supervision
Xiaoshuai Zhang, Abhijit Kundu, Thomas Funkhouser, Leonidas Guibas, Hao Su, and Kyle Genova · 2023
Closest in time.