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A key challenge in fine-grained 3D-based interactive editing is the absence of an efficient representation that balances diverse modifications with high-quality view synthesis under a given memory constraint.
A signal processing approach to fair surface design
Gabriel Taubin · 1995
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Simplifying surfaces with color and texture using quadric error metrics
M. Garland and P.S. Heckbert · 1998
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Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake · 2003
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Patient-specific surgical planning and hemodynamic computational fluid dynamics optimization through free-form haptic anatomy editing tool (surgem)
Kerem Pekkan, Brian Whited, Kirk Kanter, Shiva Sharma, Diane De Zelicourt, Kartik Sundareswaran, David Frakes, Jarek Rossignac, and Ajit P Yoganathan · 2008
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Three-dimensional surgical simulation
Lucia HC Cevidanes, Scott Tucker, Martin Styner, Hyungmin Kim, Jonas Chapuis, Mauricio Reyes, William Proffit, Timothy Turvey, and Michael Jaskolka · 2010
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Large scale multi-view stereopsis evaluation
Rasmus Jensen, Anders Dahl, George Vogiatzis, Engin Tola, and Henrik Aanæs · 2014
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3d object manipulation in a single photograph using stock 3d models
Natasha Kholgade, Tomas Simon, Alexei Efros, and Yaser Sheikh · 2014
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3dflow: Continuous summarization of mesh editing workflows
Jonathan D Denning, Valentina Tibaldo, and Fabio Pellacini · 2015
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Vremiere: In-headset virtual reality video editing
Cuong Nguyen, Stephen DiVerdi, Aaron Hertzmann, and Feng Liu · 2017
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Virtual reality filmmaking: Techniques & best practices for VR filmmakers
Celine Tricart · 2017
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Adversarial scene editing: Automatic object removal from weak supervision
Rakshith Shetty, Mario Fritz, and Bernt Schiele · 2018
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Stereo magnification: Learning view synthesis using multiplane images
Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely · 2018
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Neural volumes: Learning dynamic renderable volumes from images
Stephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas Lehrmann, and Yaser Sheikh · 2019
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Local light field fusion: Practical view synthesis with prescriptive sampling guidelines
Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar · 2019
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Neural point-based graphics
Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, and Victor Lempitsky · 2020
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Neural point cloud rendering via multi-plane projection
Peng Dai, Yinda Zhang, Zhuwen Li, Shuaicheng Liu, and Bing Zeng · 2020
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Object-centric neural scene rendering
Michelle Guo, Alireza Fathi, Jiajun Wu, and Thomas Funkhouser · 2020
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Multiview neural surface reconstruction by disentangling geometry and appearance
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Basri Ronen, and Yaron Lipman · 2020
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Barf: Bundle-adjusting neural radiance fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey · 2021
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Editing conditional radiance fields
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, and Bryan Russell · 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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Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang · 2021
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Neutex: Neural texture mapping for volumetric neural rendering
Fanbo Xiang, Zexiang Xu, Milos Hasan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, and Hao Su · 2021
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Learning object-compositional neural radiance field for editable scene rendering
Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui · 2021
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Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 2021
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Nerfactor: Neural factorization of shape and reflectance under an unknown illumination
Xiuming Zhang, Pratul P Srinivasan, Boyang Deng, Paul Debevec, William T Freeman, and Jonathan T Barron · 2021
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Tensorf: Tensorial radiance fields
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 2022
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Stylizing 3d scene via implicit representation and hypernetwork
Pei-Ze Chiang, Meng-Shiun Tsai, Hung-Yu Tseng, Wei-Sheng Lai, and Wei-Chen Chiu · 2022
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Neumesh: Learning disentangled neural mesh-based implicit field for geometry and texture editing
Learning-based inverse rendering of complex indoor scenes with differentiable monte carlo raytracing
Jingsen Zhu, Fujun Luan, Yuchi Huo, Zihao Lin, Zhihua Zhong, Dianbing Xi, Rui Wang, Hujun Bao, Jiaxiang Zheng, and Rui Tang · 2022
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Sine: Semantic-driven image-based nerf editing with prior-guided editing field
Chong Bao, Yinda Zhang, Bangbang Yang, Tianxing Fan, Zesong Yang, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui · 2023
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Segment anything in 3d with nerfs
Jiazhong Cen, Zanwei Zhou, Jiemin Fang, Wei Shen, Lingxi Xie, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, et al · 2023
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Jinkai Hu, Chengzhong Yu, Hongli Liu, Lingqi Yan, Yiqian Wu, and Xiaogang Jin · 2023
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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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Chong Bao and Bangbang Yang, Zeng Junyi, Bao Hujun, Zhang Yinda, Cui Zhaopeng, and Zhang Guofeng · 2022
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Unified implicit neural stylization
Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, and Zhangyang Wang · 2022
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Get3d: A generative model of high quality 3d textured shapes learned from images
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, and Sanja Fidler · 2022
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Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Jon Hasselgren, Nikolai Hofmann, and Jacob Munkberg · 2022
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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
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Palettenerf: Palette-based appearance editing of neural radiance fields
Zhengfei Kuang, Fujun Luan, Sai Bi, Zhixin Shu, Gordon Wetzstein, and Kalyan Sunkavalli · 2022
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Physically-based editing of indoor scene lighting from a single image
Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Miloš Hašan, Zexiang Xu, Ravi Ramamoorthi, and Manmohan Chandraker · 2022
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Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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I2-sdf: Intrinsic indoor scene reconstruction and editing via raytracing in neural sdfs
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David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, and Vincent Sitzmann · 2024
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Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Heesung Kwon, and Dinesh Manocha · 2024
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Dragscene: Interactive 3d scene editing with single-view drag instructions
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Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering
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2d gaussian splatting for geometrically accurate radiance fields
Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, and Shenghua Gao · 2024
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Ice-g: Image conditional editing of 3d gaussian splats
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Gyeongsik Moon, Takaaki Shiratori, and Shunsuke Saito · 2024
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Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen, Tengfei Wang, Gang Zeng, and Ziwei Liu · 2024
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View-consistent 3d editing with gaussian splatting
Yuxuan Wang, Xuanyu Yi, Zike Wu, Na Zhao, Long Chen, and Hanwang Zhang · 2024
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Sketch-guided cage-based 3d gaussian splatting deformation
Tianhao Xie, Noam Aigerman, Eugene Belilovsky, and Tiberiu Popa · 2024
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3dsceneeditor: Controllable 3d scene editing with gaussian splatting
Ziyang Yan, Lei Li, Yihua Shao, Siyu Chen, Zongkai Wu, Jenq-Neng Hwang, Hao Zhao, and Fabio Remondino · 2024
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Gsdf: 3dgs meets sdf for improved neural rendering and reconstruction
Mulin Yu, Tao Lu, Linning Xu, Lihan Jiang, Yuanbo Xiangli, and Bo Dai · 2024
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Neural surface reconstruction from sparse views using epipolar geometry
Kaichen Zhou · 2024
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Drag your gaussian: Effective drag-based editing with score distillation for 3d gaussian splatting
Yansong Qu, Dian Chen, Xinyang Li, Xiaofan Li, Shengchuan Zhang, Liujuan Cao, and Rongrong Ji · 2025
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Geometry-aware diffusion models for multiview scene inpainting
Ahmad Salimi, Tristan Aumentado-Armstrong, Marcus A Brubaker, and Konstantinos G Derpanis · 2025
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Advancing 3d gaussian splatting editing with complementary and consensus information
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