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We propose HoliGS, a novel deformable Gaussian splatting framework that addresses embodied view synthesis from long monocular RGB videos.
High-quality video view interpolation using a layered representation
C. Lawrence Zitnick, Sing Bing Kang, Matthew Uyttendaele, Simon Winder, and Richard Szeliski · 2004
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Skinning with dual quaternions
Ladislav Kavan, Steven Collins, Jiří Žára, and Carol O’Sullivan · 2007
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View and time interpolation in image space
Timo Stich, Christian Linz, Georgia Albuquerque, and Marcus Magnor · 2008
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ORB-SLAM: a versatile and accurate monocular SLAM system
Raul Mur-Artal, Jose Maria Martinez Montiel, and Juan D Tardos · 2015
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Posenet: A convolutional network for real-time 6-dof camera relocalization
Alex Kendall, Matthew Grimes, and Roberto Cipolla · 2015
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Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
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Density estimation using real nvp
Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio · 2016
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3D menagerie: Modeling the 3D shape and pose of animals
Silvia Zuffi, Angjoo Kanazawa, David Jacobs, and Michael J. Black · 2017
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End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J Black, David W Jacobs, and Jitendra Malik · 2018
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Learning to reconstruct 3d human pose and shape via model-fitting in the loop
Nikos Kolotouros, Georgios Pavlakos, Michael J Black, and Kostas Daniilidis · 2019
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X-fields: Implicit neural view-, light- and time-image interpolation
Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, and Tobias Ritschel · 2020
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4d visualization of dynamic events from unconstrained multi-view videos
Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, and Srinivasa Narasimhan · 2020
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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
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3d bird reconstruction: a dataset, model, and shape recovery from a single view
Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros, Bernd G Pfrommer, Marc F Schmidt, and Kostas Daniilidis · 2020
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Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
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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 · 2021
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D-nerf: Neural radiance fields for dynamic scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2021
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Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
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Space-time neural irradiance fields for free-viewpoint video
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, and Changil Kim · 2021
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Neural trajectory fields for dynamic novel view synthesis
Chaoyang Wang, Ben Eckart, Simon Lucey, and Orazio Gallo · 2021
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Dynamic view synthesis from dynamic monocular video
Chen Gao, Ayush Saraf, Johannes Kopf, and Jia-Bin Huang · 2021
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Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video
Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, and Christian Theobalt · 2021
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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
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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
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Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans
Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, and Xiaowei Zhou · 2021
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Neural actor: Neural free-view synthesis of human actors with pose control
Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, and Christian Theobalt · 2021
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Snarf: Differentiable forward skinning for animating non-rigid neural implicit shapes
Xu Chen, Yufeng Zheng, Michael J Black, Otmar Hilliges, and Andreas Geiger · 2021
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DROID-SLAM: Deep visual SLAM for monocular, stereo, and RGB-D cameras
Zachary Teed and Jia Deng · 2021
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Robust consistent video depth estimation
Johannes Kopf, Xuejian Rong, and Jia-Bin Huang · 2021
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Neural 3d video synthesis from multi-view video
Tianye Li, Mira Slavcheva, Michael Zollhoefer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard Newcombe, et al · 2022
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D2 nerf: Self-supervised decoupling of dynamic and static objects from a monocular video
Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction
Ziyi Yang, Xinyu Gao, Wen Zhou, Shaohui Jiao, Yuqing Zhang, and Xiaogang Jin · 2023
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Gaufre: Gaussian deformation fields for real-time dynamic novel view synthesis
Yiqing Liang, Numair Khan, Zhengqin Li, Thu Nguyen-Phuoc, Douglas Lanman, James Tompkin, and Lei Xiao · 2023
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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
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Dyblurf: Dynamic deblurring neural radiance fields for blurry monocular video
Minh-Quan Viet Bui, Jongmin Park, Jihyong Oh, and Munchurl Kim · 2023
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Tensor4d: Efficient neural 4d decomposition for high-fidelity dynamic reconstruction and rendering
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Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, and Cengiz Oztireli · 2022
Cited alongside, same era.
Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil and Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
Cited alongside, same era.
Tensorf: Tensorial radiance fields
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 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.
Humannerf: Free-viewpoint rendering of moving people from monocular video
Chung-Yi Weng, Brian Curless, Pratul P Srinivasan, Jonathan T Barron, and Ira Kemelmacher-Shlizerman · 2022
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Banmo: Building animatable 3d neural models from many casual videos
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, and Hanbyul Joo · 2022
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Ruizhi Shao, Zerong Zheng, Hanzhang Tu, Boning Liu, Hongwen Zhang, and Yebin Liu · 2023
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Dynibar: Neural dynamic image-based rendering
Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, and Noah Snavely · 2023
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Smpl: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black · 2023
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Bite: Beyond priors for improved three-d dog pose estimation
Nadine Rüegg, Shashank Tripathi, Konrad Schindler, Michael J Black, and Silvia Zuffi · 2023
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Humans in 4d: Reconstructing and tracking humans with transformers
Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, and Jitendra Malik · 2023
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Refit: Recurrent fitting network for 3d human recovery
Yufu Wang and Kostas Daniilidis · 2023
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Fast-snarf: A fast deformer for articulated neural fields
Xu Chen, Tianjian Jiang, Jie Song, Max Rietmann, Andreas Geiger, Michael J Black, and Otmar Hilliges · 2023
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Reconstructing animatable categories from videos
Gengshan Yang, Chaoyang Wang, N Dinesh Reddy, and Deva Ramanan · 2023
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Tracking everything everywhere all at once
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, and Noah Snavely · 2023
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Cotracker3: Simpler and better point tracking by pseudo-labelling real videos
Nikita Karaev, Iurii Makarov, Jianyuan Wang, Natalia Neverova, Andrea Vedaldi, and Christian Rupprecht · 2024
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Shape of motion: 4d reconstruction from a single video
Qianqian Wang, Vickie Ye, Hang Gao, Jake Austin, Zhengqi Li, and Angjoo Kanazawa · 2024
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Mosca: Dynamic gaussian fusion from casual videos via 4d motion scaffolds
Jiahui Lei, Yijia Weng, Adam Harley, Leonidas Guibas, and Kostas Daniilidis · 2024
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Dynamic gaussian marbles for novel view synthesis of casual monocular videos
Colton Stearns, Adam Harley, Mikaela Uy, Florian Dubost, Federico Tombari, Gordon Wetzstein, and Leonidas Guibas · 2024
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Ctnerf: Cross-time transformer for dynamic neural radiance field from monocular video
Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Yang Long, and Yefeng Zheng · 2024
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Vidu4d: Single generated video to high-fidelity 4d reconstruction with dynamic gaussian surfels
Yikai Wang, Xinzhou Wang, Zilong Chen, Zhengyi Wang, Fuchun Sun, and Jun Zhu · 2024
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Unidepth: Universal monocular metric depth estimation
Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segu, Siyuan Li, Luc Van Gool, and Fisher Yu · 2024
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Sam 2: Segment anything in images and videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, et al · 2024
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Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction
Ziyi Yang, Xinyu Gao, Wen Zhou, Shaohui Jiao, Yuqing Zhang, and Xiaogang Jin · 2024
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4d gaussian splatting for real-time dynamic scene rendering
Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, and Xinggang Wang · 2024
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Modgs: Dynamic gaussian splatting from casually-captured monocular videos
Qingming Liu, Yuan Liu, Jiepeng Wang, Xianqiang Lyv, Peng Wang, Wenping Wang, and Junhui Hou · 2025
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