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The creation of photorealistic virtual worlds requires the accurate modeling of 3D surface geometry for a wide range of objects.
On the classification of noncompact surfaces
Ian Richards · 1963
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Two algorithms for constructing a delaunay triangulation
Der-Tsai Lee and Bruce J Schachter · 1980
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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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The ball-pivoting algorithm for surface reconstruction
Fausto Bernardini, Joshua Mittleman, Holly Rushmeier, Cláudio Silva, and Gabriel Taubin · 1999
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Regularised marching tetrahedra: improved iso-surface extraction
Graham M Treece, Richard W Prager, and Andrew H Gee · 1999
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Dual contouring of hermite data
Tao Ju, Frank Losasso, Scott Schaefer, and Joe Warren · 2002
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A remeshing approach to multiresolution modeling
Mario Botsch and Leif Kobbelt · 2004
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Poisson surface reconstruction
Michael Kazhdan, Matthew Bolitho, and Hugues Hoppe · 2006
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Introduction to Topological Manifolds
J. Lee · 2010
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Robust inside-outside segmentation using generalized winding numbers
Alec Jacobson, Ladislav Kavan, and Olga Sorkine-Hornung · 2013
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Riemann Surfaces: (PMS-26)
L.V. Ahlfors and L. Sario · 2015
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Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
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Pixelwise view selection for unstructured multi-view stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, and Josh Tenenbaum · 2016
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Fast winding numbers for soups and clouds
Gavin Barill, Neil G Dickson, Ryan Schmidt, David IW Levin, and Alec Jacobson · 2018
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Robust watertight manifold surface generation method for shapenet models
Jingwei Huang, Hao Su, and Leonidas Guibas · 2018
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Deep marching cubes: Learning explicit surface representations
Yiyi Liao, Simon Donne, and Andreas Geiger · 2018
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Pixel2mesh: Generating 3d mesh models from single rgb images
Nanyang Wang, Yinda Zhang, Zhuwen Li, Yanwei Fu, Wei Liu, and Yu-Gang Jiang · 2018
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Learning to infer implicit surfaces without 3d supervision
Shichen Liu, Shunsuke Saito, Weikai Chen, and Hao Li · 2019
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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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Deep mesh reconstruction from single rgb images via topology modification networks
Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, and Kui Jia · 2019
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Pointflow: 3d point cloud generation with continuous normalizing flows
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, and Bharath Hariharan · 2019
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Cloth3d: clothed 3d humans
Hugo Bertiche, Meysam Madadi, and Sergio Escalera · 2020
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Neural unsigned distance fields for implicit function learning
Julian Chibane, Gerard Pons-Moll, et al · 2020
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Implicit geometric regularization for learning shapes
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, and Yaron Lipman · 2020
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Point2mesh: A self-prior for deformable meshes
Rana Hanocka, Gal Metzer, Raja Giryes, and Daniel Cohen-Or · 2020
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Deep fashion3d: A dataset and benchmark for 3d garment reconstruction from single images
Zhu Heming, Cao Yu, Jin Hang, Chen Weikai, Du Dong, Wang Zhangye, Cui Shuguang, and Han Xiaoguang · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization
Yue Jiang, Dantong Ji, Zhizhong Han, and Matthias Zwicker · 2020
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Modular primitives for high-performance differentiable rendering
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, and Timo Aila · 2020
Meshudf: Fast and differentiable meshing of unsigned distance field networks
Benoit Guillard, Federico Stella, and Pascal Fua · 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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Structural causal 3d reconstruction
Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, and Bernhard Schölkopf · 2022
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Extracting Triangular 3D Models, Materials, and Lighting From Images
Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Mueller, and Sanja Fidler · 2022
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Deepcurrents: Learning implicit representations of shapes with boundaries
David Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, and Justin Solomon · 2022
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Highly accurate dichotomous image segmentation
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Dist: Rendering deep implicit signed distance function with differentiable sphere tracing
Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, and Zhaopeng Cui · 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 · 2020
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Polygen: An autoregressive generative model of 3d meshes
Charlie Nash, Yaroslav Ganin, SM Ali Eslami, and Peter Battaglia · 2020
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Meshsdf: Differentiable iso-surface extraction
Edoardo Remelli, Artem Lukoianov, Stephan Richter, Benoit Guillard, Timur Bagautdinov, Pierre Baque, and Pascal Fua · 2020
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Graf: Generative radiance fields for 3d-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, and Luc Van Gool · 2022
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Stochastic poisson surface reconstruction
Silvia Sellán and Alec Jacobson · 2022
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Lion: Latent point diffusion models for 3d shape generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, and Karsten Kreis · 2022
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Sdf-stylegan: Implicit sdf-based stylegan for 3d shape generation
Xin-Yang Zheng, Yang Liu, Peng-Shuai Wang, and Xin Tong · 2022
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Registering explicit to implicit: Towards high-fidelity garment mesh reconstruction from single images
Heming Zhu, Lingteng Qiu, Yuda Qiu, and Xiaoguang Han · 2022
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Fantasia3d: Disentangling geometry and appearance for high-quality text-to-3d content creation
Rui Chen, Yongwei Chen, Ningxin Jiao, and Kui Jia · 2023
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Neural representation of open surfaces
Thor V Christiansen, Jakob Andreas Bærentzen, Rasmus R Paulsen, and Morten R Hannemose · 2023
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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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Magic3d: High-resolution text-to-3d content creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, and Tsung-Yi Lin · 2023
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Neudf: Leaning neural unsigned distance fields with volume rendering
Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, and Lin Gao · 2023
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Meshdiffusion: Score-based generative 3d mesh modeling
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, and Weiyang Liu · 2023
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Neuraludf: Learning unsigned distance fields for multi-view reconstruction of surfaces with arbitrary topologies
Xiaoxiao Long, Cheng Lin, Lingjie Liu, Yuan Liu, Peng Wang, Christian Theobalt, Taku Komura, and Wenping Wang · 2023
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Neat: Learning neural implicit surfaces with arbitrary topologies from multi-view images
Xiaoxu Meng, Weikai Chen, and Bo Yang · 2023
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Rec-mv: Reconstructing 3d dynamic cloth from monocular videos
Lingteng Qiu, Guanying Chen, Jiapeng Zhou, Mutian Xu, Junle Wang, and Xiaoguang Han · 2023
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Flexible isosurface extraction for gradient-based mesh optimization
Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, and Jun Gao · 2023
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ECON: Explicit Clothed humans Optimized via Normal integration
Yuliang Xiu, Jinlong Yang, Xu Cao, Dimitrios Tzionas, and Michael J. Black · 2023
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Nsf: Neural surface fields for human modeling from monocular depth
Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin, Nikolaos Sarafianos, Yuanlu Xu, Gerard Pons-Moll, and Tony Tung · 2023
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Learning a diffusion prior for nerfs
Guandao Yang, Abhijit Kundu, Leonidas J Guibas, Jonathan T Barron, and Ben Poole · 2023
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