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Recently, with the development of Neural Radiance Fields and Gaussian Splatting, 3D reconstruction techniques have achieved remarkably high fidelity.
Superquadrics and angle-preserving transformations
Alan H Barr · 1981
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Compositing digital images
Thomas Porter and Tom Duff · 1984
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Large scale multi-view stereopsis evaluation
Rasmus Jensen, Anders Dahl, George Vogiatzis, Engil Tola, and Henrik Aanæs · 2014
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Hierarchical density estimates for data clustering, visualization, and outlier detection
Ricardo JGB Campello, Davoud Moulavi, Arthur Zimek, and Jörg Sander · 2015
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Tanks and temples: Benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
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A grasping approach based on superquadric models
Giulia Vezzani, Ugo Pattacini, and Lorenzo Natale · 2017
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Im2struct: Recovering 3d shape structure from a single rgb image
Chengjie Niu, Jun Li, and Kai Xu · 2018
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Learning to predict 3d objects with an interpolation-based differentiable renderer
Wenzheng Chen, Huan Ling, Jun Gao, Edward Smith, Jaakko Lehtinen, Alec Jacobson, and Sanja Fidler · 2019
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Superquadrics revisited: Learning 3d shape parsing beyond cuboids
Despoina Paschalidou, Ali Osman Ulusoy, and Andreas Geiger · 2019
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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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Learning unsupervised hierarchical part decomposition of 3d objects from a single rgb image
Despoina Paschalidou, Luc Van Gool, and Andreas Geiger · 2020
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Accelerating 3d deep learning with pytorch3d
Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, and Georgia Gkioxari · 2020
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Pq-net: A generative part seq2seq network for 3d shapes
Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, and Baoquan Chen · 2020
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Blendedmvs: A large-scale dataset for generalized multi-view stereo networks
Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, and Long Quan · 2020
Earlier work this paper cites.
Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
Jonathan T Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P Srinivasan · 2021
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Learning compositional shape priors for few-shot 3d reconstruction
Mateusz Michalkiewicz, Stavros Tsogkas, Sarah Parisot, Mahsa Baktashmotlagh, Anders Eriksson, and Eugene Belilovsky · 2021
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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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Neural parts: Learning expressive 3d shape abstractions with invertible neural networks
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, and Sanja Fidler · 2021
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
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Differentiable blocks world: Qualitative 3d decomposition by rendering primitives
Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei Efros, and Mathieu Aubry · 2023
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Anise: Assembly-based neural implicit surface reconstruction
Dmitry Petrov, Matheus Gadelha, Radomír Měch, and Evangelos Kalogerakis · 2023
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Nerfstudio: A modular framework for neural radiance field development
Matthew Tancik, Ethan Weber, Evonne Ng, Ruilong Li, Brent Yi, Terrance Wang, Alexander Kristoffersen, Jake Austin, Kamyar Salahi, Abhik Ahuja, et al · 2023
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Generating part-aware editable 3d shapes without 3d supervision
Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Emiris, Yannis Avrithis, and Leonidas Guibas · 2023
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Gaussian grouping: Segment and edit anything in 3d scenes
Mingqiao Ye, Martin Danelljan, Fisher Yu, and Lei Ke · 2023
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Robust and accurate superquadric recovery: a probabilistic approach
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Highly accurate dichotomous image segmentation
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Iterative superquadric recomposition of 3d objects from multiple views
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Local 3d editing via 3d distillation of clip knowledge
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Gaussianshader: 3d gaussian splatting with shading functions for reflective surfaces
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3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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Compositional scene representation learning via reconstruction: A survey
Jinyang Yuan, Tonglin Chen, Bin Li, and Xiangyang Xue · 2023
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Gaussianeditor: Swift and controllable 3d editing with gaussian splatting
Yiwen Chen, Zilong Chen, Chi Zhang, Feng Wang, Xiaofeng Yang, Yikai Wang, Zhongang Cai, Lei Yang, Huaping Liu, and Guosheng Lin · 2024
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Gaussianavatars: Photorealistic head avatars with rigged 3d gaussians
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Dpa-net: Structured 3d abstraction from sparse views via differentiable primitive assembly
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