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Neural rendering combines ideas from classical computer graphics and machine learning to synthesize images from real-world observations.
Ray tracing volume densities
James T. Kajiya and Brian P Von Herzen · 1984
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Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
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Optical models for direct volume rendering
Nelson Max · 1995
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Development of 3d image reconstruction based on untracked 2d fetal phantom ultrasound images using vtk
Mahani Hafizah, Tan Kok, and Eko Supriyanto · 2010
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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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Multi-view stereo: A tutorial
Yasutaka Furukawa, Carlos Hernández, et al · 2015
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Smpl: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black · 2015
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3d heart image reconstruction and visualization with marching cubes algorithm
Pratomo Adhi Nugroho, Dwi Kurnia Basuki, and Riyanto Sigit · 2016
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Comparison of medical image 3d reconstruction rendering methods for robot-assisted surgery
Zhaoxi Pan, Song Tian, Mengzhao Guo, Jianxun Zhang, Ningbo Yu, and Yunwei Xin · 2017
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Three-dimensional modeling in medical image processing by using fractal geometry
Abidin Çalışkan and Ulus Çevik · 2017
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Octnet: Learning deep 3d representations at high resolutions
Gernot Riegler, Ali Osman Ulusoy, and Andreas Geiger · 2017
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Matterport3d: Learning from rgb-d data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
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Novel hpc techniques to batch execution of many variable size blas computations on gpus
Ahmad Abdelfattah, Azzam Haidar, Stanimire Tomov, and Jack Dongarra · 2017
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Voxceleb: a large-scale speaker identification dataset
Arsha Nagrani, Joon Son Chung, and Andrew Zisserman · 2017
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A methodological review of 3d reconstruction techniques in tomographic imaging
Usman Khan, AmanUllah Yasin, Muhammad Abid, Imran Shafi, and Shoab A Khan · 2018
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Blender - a 3D modelling and rendering package
Blender Online Community · 2018
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Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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Photoshape: Photorealistic materials for large-scale shape collections
Keunhong Park, Konstantinos Rematas, Ali Farhadi, and Steven M. Seitz · 2018
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A review on 3d reconstruction techniques from 2d images
M Aharchi and M Ait Kbir · 2019
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Computer vision based 3d reconstruction: A review
Hanry Ham, Julian Wesley, and Hendra Hendra · 2019
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A review of deep learning techniques for 3d reconstruction of 2d images
Anny Yuniarti and Nanik Suciati · 2019
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3d neuron reconstruction in tangled neuronal image with deep networks
Qiufu Li and Linlin Shen · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 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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Deepvoxels: Learning persistent 3d feature embeddings
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, and Michael Zollhofer · 2019
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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
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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Scene representation networks: Continuous 3d-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2019
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GIRAFFE: representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2020
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3d reconstruction of spine image from 2d mri slices along one axis
Somoballi Ghoshal, Sourav Banu, Amlan Chakrabarti, Susmita Sur-Kolay, and Alok Pandit · 2020
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X-ray2shape: reconstruction of 3d liver shape from a single 2d projection image
Fei Tong, Megumi Nakao, Shuqiong Wu, Mitsuhiro Nakamura, and Tetsuya Matsuda · 2020
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Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 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
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Differentiable rendering: A survey
Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, and Adrien Gaidon · 2020
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Neural volume rendering: Nerf and beyond
Frank Dellaert and Lin Yen-Chen · 2020
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Nerf++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J Black · 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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Nerf-: Neural radiance fields without known camera parameters
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, and Victor Adrian Prisacariu · 2021
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Nerf in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
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Nerf-vae: A geometry aware 3d scene generative model
Adam R Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, and Danilo Jimenez Rezende · 2021
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Star: Self-supervised tracking and reconstruction of rigid objects in motion with neural rendering
Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, and Steven Lovegrove · 2021
Cited alongside, same era.
Nerd: Neural reflectance decomposition from image collections
Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, and Hendrik P.A. Lensch · 2021
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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
Cited alongside, same era.
Plenoctrees for real-time rendering of neural radiance fields
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa · 2021
Cited alongside, same era.
Plenoxels: Radiance fields without neural networks
Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2021
Cited alongside, same era.
Cagenerf: Cage-based neural radiance field for generalized 3d deformation and animation
Yicong Peng, Yichao Yan, Shengqi Liu, Yuhao Cheng, Shanyan Guan, Bowen Pan, Guangtao Zhai, and Xiaokang Yang · 2022
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Fenerf: Face editing in neural radiance fields
Jingxiang Sun, Xuan Wang, Yong Zhang, Xiaoyu Li, Qi Zhang, Yebin Liu, and Jue Wang · 2022
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Conerf: Controllable neural radiance fields
Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzciński, and Andrea Tagliasacchi · 2022
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Neuphysics: Editable neural geometry and physics from monocular videos
Yi-Ling Qiao, Alexander Gao, and Ming Lin · 2022
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Reinforcement learning with neural radiance fields, 2022
Danny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, and Marc Toussaint · 2022
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Snake: Shape-aware neural 3d keypoint field, 2022
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Gnerf: Gan-based neural radiance field without posed camera
Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, and Jingyi Yu · 2021
Cited alongside, same era.
Nerf-vae: A geometry aware 3d scene generative model
Adam R Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokrá, and Danilo Jimenez Rezende · 2021
Cited alongside, same era.
pixelnerf: Neural radiance fields from one or few images
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 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.
inerf: Inverting neural radiance fields for pose estimation
Lin Yen-Chen, Pete Florence, Jonathan T Barron, Alberto Rodriguez, Phillip Isola, and Tsung-Yi Lin · 2021
Cited alongside, same era.
Barf: Bundle-adjusting neural radiance fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey · 2021
Cited alongside, same era.
Deep learning for biomedical image reconstruction: A survey
Hanene Ben Yedder, Ben Cardoen, and Ghassan Hamarneh · 2021
Cited alongside, same era.
Chengliang Zhong, Peixing You, Xiaoxue Chen, Hao Zhao, Fuchun Sun, Guyue Zhou, Xiaodong Mu, Chuang Gan, and Wenbing Huang · 2022
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Openxrlab neural radiance field toolbox and benchmark
XRNeRF Contributors · 2022
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Learning neural acoustic fields
Andrew Luo, Yilun Du, Michael Tarr, Josh Tenenbaum, Antonio Torralba, and Chuang Gan · 2022
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Inras: Implicit neural representation for audio scenes
Kun Su, Mingfei Chen, and Eli Shlizerman · 2022
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Three-dimensional reconstruction from a single rgb image using deep learning: A review
Muhammad Saif Ullah Khan, Alain Pagani, Marcus Liwicki, Didier Stricker, and Muhammad Zeshan Afzal · 2022
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Decomposing neRF for editing via feature field distillation
Sosuke Kobayashi, Eiichi Matsumoto, and Vincent Sitzmann · 2022
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D 2 nerf: Self-supervised decoupling of dynamic and static objects from a monocular video
Tianhao Walter Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, and Cengiz Oztireli · 2022
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VoxGRAF: Fast 3d-aware image synthesis with sparse voxel grids
Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, and Andreas Geiger · 2022
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Nerf: Neural radiance field in 3d vision, a comprehensive review
Kyle Gao, Yina Gao, Hongjie He, Denning Lu, Linlin Xu, and Jonathan Li · 2022
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Nerf explosion 2020
Frank Dellaert · 2022
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Nerf at iccv 2021
Frank Dellaert · 2022
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Point-nerf: Point-based neural radiance fields
Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, and Ulrich Neumann · 2022
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Nerfusion: Fusing radiance fields for large-scale scene reconstruction
X. Zhang, S. Bi, K. Sunkavalli, H. Su, and Z. Xu · 2022
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Deforming radiance fields with cages
Tianhan Xu and Tatsuya Harada · 2022
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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
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Mega-nerf: Scalable construction of large-scale nerfs for virtual fly- throughs
H. Turki, D. Ramanan, and M. Satyanarayanan · 2022
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Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures, 2022
Zhiqin Chen, Thomas Funkhouser, Peter Hedman, and Andrea Tagliasacchi · 2022
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Coordinates are not lonely-codebook prior helps implicit neural 3d representations
Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, and Gang Yu · 2022
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Zero-shot text-guided object generation with dream fields
Ajay Jain, Ben Mildenhall, Jonathan T Barron, Pieter Abbeel, and Ben Poole · 2022
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Lit: Zero-shot transfer with locked-image text tuning
Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, and Lucas Beyer · 2022
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Pix2nerf: Unsupervised conditional p-gan for single image to neural radiance fields translation
Shengqu Cai, Anton Obukhov, Dengxin Dai, and Luc Van Gool · 2022
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Efficient geometry-aware 3d generative adversarial networks
Eric R Chan, Connor Z Lin, Matthew A Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J Guibas, Jonathan Tremblay, Sameh Khamis, et al · 2022
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Lolnerf: Learn from one look
Daniel Rebain, Mark Matthews, Kwang Moo Yi, Dmitry Lagun, and Andrea Tagliasacchi · 2022
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Humannerf: Efficiently generated human radiance field from sparse inputs
F. Zhao, W. Yang, J. Zhang, P. Lin, Y. Zhang, J. Yu, and L. Xu · 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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Steernerf: Accelerating nerf rendering via smooth viewpoint trajectory
Sicheng Li, Hao Li, Yue Wang, Yiyi Liao, and Lu Yu · 2022
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Capturing, reconstructing, and simulating: the urbanscene3d dataset
Liqiang Lin, Yilin Liu, Yue Hu, Xingguang Yan, Ke Xie, and Hui Huang · 2022
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Fdnerf: Few-shot dynamic neural radiance fields for face reconstruction and expression editing
Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, and Jing Liao · 2022
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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
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Nerf at cvpr 2022
Frank Dellaert · 2023
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Nerf at neurips 2022
Mark Boss · 2023
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https://en.wikipedia.org/wiki/Frustum
Frustum - wikipedia · 2023
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https://academic-accelerator.com/Manuscript-Generator/Cost-Volume
Introduction to cost volume · 2023
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https://www.osti.gov/servlets/purl/3751
3751 · 2023
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Hypernerfgan: Hypernetwork approach to 3d nerf gan, 2023
Adam Kania, Artur Kasymov, Maciej Zięba, and Przemysław Spurek · 2023
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https://www.si.edu/spotlight/kinematic-models
Kinematic models | smithsonian institution · 2023
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