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In this paper, we propose a method that enables interactive geometry editing for neural radiance fields manipulation.
“Free-form deformation of solid geometric models,”
Thomas W Sederberg and Scott R Parry, · 1986
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“Interactive multi-resolution modeling on arbitrary meshes,”
Leif Kobbelt, Swen Campagna, Jens Vorsatz, and Hans-Peter Seidel, · 1998
Earlier work this paper cites.
“As-rigid-as-possible shape interpolation,”
Marc Alexa, Daniel Cohen-Or, and David Levin, · 2000
Earlier work this paper cites.
“Mesh-based inverse kinematics,”
Robert W Sumner, Matthias Zwicker, Craig Gotsman, and Jovan Popović, · 2005
Earlier work this paper cites.
“Harmonic coordinates for character articulation,”
P. Joshi, M. Meyer, T. Derose, B. Green, and T. Sanocki, · 2007
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“3d skeletons: A state-of-the-art report,”
Andrea Tagliasacchi, Thomas Delame, Michela Spagnuolo, Nina Amenta, and Alexandru Telea, · 2016
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“Interactive cage generation for mesh deformation,”
Binh Huy Le and Zhigang Deng, · 2017
Earlier work this paper cites.
“Variational autoencoders for deforming 3d mesh models,”
Qingyang Tan, Lin Gao, Yu-Kun Lai, and Shihong Xia, · 2018
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.
“Graf: Generative radiance fields for 3d-aware image synthesis,”
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger, · 2020
Earlier work this paper cites.
“Neural cages for detail-preserving 3d deformations,”
Wang Yifan, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, and Olga Sorkine-Hornung, · 2020
Earlier work this paper cites.
“Nerf-pytorch,” https://github.com/yenchenlin/nerf-pytorch/
Lin Yen-Chen, · 2020
Earlier work this paper cites.
“Giraffe: Representing scenes as compositional generative neural feature fields,”
Michael Niemeyer and Andreas Geiger, · 2021
Cited alongside, same era.
“pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis,”
Eric Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein, · 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.
“Stylizing 3d scene via implicit representation and hypernetwork,”
Pei-Ze Chiang, Meng-Shiun Tsai, Hung-Yu Tseng, Wei-Sheng Lai, and Wei-Chen Chiu, · 2021
Cited alongside, same era.
“Giraffe: Representing scenes as compositional generative neural feature fields,”
Michael Niemeyer and Andreas Geiger, · 2021
Cited alongside, same era.
“Stylizednerf: Consistent 3d scene stylization as stylized nerf via 2d-3d mutual learning,”
Yi-Hua Huang, Yue He, Yu-Jie Yuan, Yu-Kun Lai, and Lin Gao, · 2022
Later among the works it cites.
“Upst-nerf: Universal photorealistic style transfer of neural radiance fields for 3d scene,”
Yaosen Chen, Qi Yuan, Zhiqiang Li, Yuegen Liu, Wei Wang, Chaoping Xie, Xuming Wen, and Qien Yu, · 2022
Later among the works it cites.
“Block-nerf: Scalable large scene neural view synthesis,”
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, and Henrik Kretzschmar, · 2022
Later among the works it cites.
“Nerf-editing: Geometry editing of neural radiance fields,”
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, and Lin Gao, · 2022
Later among the works it cites.
“Deforming radiance fields with cages,”
Tianhan Xu and Tatsuya Harada, · 2022
Later among the works it cites.
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“pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis,”
Eric Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein, · 2021
Cited alongside, same era.
“Dynamic neural radiance fields for monocular 4d facial avatar reconstruction,”
Guy Gafni, Justus Thies, Michael Zollhöfer, and Matthias Nießner, · 2021
Cited alongside, same era.
“Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields,” 2021
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan, · 2021
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.
“Instant neural graphics primitives with a multiresolution hash encoding,”
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller, · 2022
Cited alongside, same era.
“CoNeRF: Controllable Neural Radiance Fields,”
Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzciński, and Andrea Tagliasacchi, · 2022
Cited alongside, same era.
Yicong Peng, Yichao Yan, Shenqi Liu, Yuhao Cheng, Shanyan Guan, Bowen Pan, Guangtao Zhai, and Xiaokang Yang, · 2022
Later among the works it cites.
“Neumesh: Learning disentangled neural mesh-based implicit field for geometry and texture editing,”
Bangbang Yang, Chong Bao, Junyi Zeng, Hujun Bao, Yinda Zhang, Zhaopeng Cui, and Guofeng Zhang, · 2022
Later among the works it cites.
“Headnerf: A real-time nerf-based parametric head model,”
Yang Hong, Bo Peng, Haiyao Xiao, Ligang Liu, and Juyong Zhang, · 2022
Later among the works it cites.
“Instant neural radiance fields stylization,” 2023
Shaoxu Li and Ye Pan, · 2023
Closest in time.
“Read: Large-scale neural scene rendering for autonomous driving,”
Zhuopeng Li, Lu Li, and Jianke* Zhu, · 2023
Closest in time.
“Nerfshop: Interactive editing of neural radiance fields,”
Clément Jambon, Bernhard Kerbl, Georgios Kopanas, Stavros Diolatzis, Thomas Leimkühler, and George Drettakis, · 2023
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