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We introduce TetSphere Splatting, a Lagrangian geometry representation designed for high-quality 3D shape modeling.
Surface mesh quality evaluation
Pascal J Frey and Houman Borouchaki · 1999
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Computational fluid dynamics
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Deformation transfer for triangle meshes
Robert W Sumner and Jovan Popović · 2004
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Optimal step nonrigid icp algorithms for surface registration
Brian Amberg, Sami Romdhani, and Thomas Vetter · 2007
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On linear variational surface deformation methods
Mario Botsch and Olga Sorkine · 2007
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Measurement of areas on a sphere using fibonacci and latitude–longitude lattices
Álvaro González · 2010
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Guide to computational geometry processing: foundations, algorithms, and methods
J Andreas Bærentzen, Jens Gravesen, François Anton, and Henrik Aanæs · 2012
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Physically-based shading at disney
Brent Burley and Walt Disney Animation Studios · 2012
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Fem simulation of 3d deformable solids: a practitioner’s guide to theory, discretization and model reduction
Eftychios Sifakis and Jernej Barbic · 2012
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Locally injective mappings
Christian Schüller, Ladislav Kavan, Daniele Panozzo, and Olga Sorkine-Hornung · 2013
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Thingi10k: A dataset of 10,000 3d-printing models
Qingnan Zhou and Alec Jacobson · 2016
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Libigl: Prototyping geometry processing research in c++
Alec Jacobson and Daniele Panozzo · 2017
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AtlasNet: A Papier-Mâché approach to learning 3D surface generation
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
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3D-LMNet: Latent embedding matching for accurate and diverse 3D point cloud reconstruction from a single image
Priyanka Mandikal, K L Navaneet, Mayank Agarwal, and R Venkatesh Babu · 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 implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
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Mesh r-cnn
Georgia Gkioxari, Jitendra Malik, and Justin Johnson · 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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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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Pix2Vox: Context-aware 3D reconstruction from single and multi-view images
Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, and Shengping Zhang · 2019
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DISN: Deep implicit surface network for high-quality single-view 3D reconstruction
Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomir Mech, and Ulrich Neumann · 2019
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Tet-gan: Text effects transfer via stylization and destylization
Shuai Yang, Jiaying Liu, Wenjing Wang, and Zongming Guo · 2019
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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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Modular primitives for high-performance differentiable rendering
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, and Timo Aila · 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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Pix2Vox++: Multi-scale context-aware 3D object reconstruction from single and multiple images
Haozhe Xie, Hongxun Yao, Shengping Zhang, Shangchen Zhou, and Wenxiu Sun · 2020
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pixelNeRF: Neural radiance fields from one or few images
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2020
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Ray-onet: Efficient 3d reconstruction from a single rgb image
Wenjing Bian, Zirui Wang, Kejie Li, and Victor Adrian Prisacariu · 2021
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Single-view 3d reconstruction: A survey of deep learning methods
George Fahim, Khalid Amin, and Sameh Zarif · 2021
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Single image 3d object reconstruction based on deep learning: A review
Kui Fu, Jiansheng Peng, Qiwen He, and Hanxiao Zhang · 2021
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CodeNeRF: Disentangled neural radiance fields for object categories
Wonbong Jang and Lourdes Agapito · 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
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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Objaverse: A universe of annotated 3d objects
Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, and Ali Farhadi · 2023
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Nerfdiff: Single-image view synthesis with nerf-guided distillation from 3d-aware diffusion
Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, and Ravi Ramamoorthi · 2023
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Openlrm: Open-source large reconstruction models
Zexin He and Tengfei Wang · 2023
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DreamTime: An improved optimization strategy for Text-to-3D content creation
Yukun Huang, Jianan Wang, Yukai Shi, Xianbiao Qi, Zheng-Jun Zha, and Lei Zhang · 2023
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Large steps in inverse rendering of geometry
Baptiste Nicolet, Alec Jacobson, and Wenzel Jakob · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis
Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, and Sanja Fidler · 2021
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NeRDi: Single-View NeRF synthesis with Language-Guided diffusion as general image priors
Congyue Deng, Chiyu “max” Jiang, Charles R Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, and Dragomir Anguelov · 2022
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Coverage axis: Inner point selection for 3d shape skeletonization
Zhiyang Dou, Cheng Lin, Rui Xu, Lei Yang, Shiqing Xin, Taku Komura, and Wenping Wang · 2022
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Google scanned objects: A High-Quality dataset of 3D scanned household items
Laura Downs, Anthony Francis, Nate Koenig, Brandon Kinman, Ryan Hickman, Krista Reymann, Thomas B McHugh, and Vincent Vanhoucke · 2022
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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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SweetDreamer: Aligning geometric priors in 2D diffusion for consistent Text-to-3D
Weiyu Li, Rui Chen, Xuelin Chen, and Ping Tan · 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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Wonder3D: Single image to 3D using Cross-Domain diffusion
Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin, Yuan Liu, Zhiyang Dou, Lingjie Liu, Yuexin Ma, Song-Hai Zhang, Marc Habermann, Christian Theobalt, and Wenping Wang · 2023
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RealFusion: 360° reconstruction of any object from a single image
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, and Andrea Vedaldi · 2023
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Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors
Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, and Bernard Ghanem · 2023
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RichDreamer: A generalizable Normal-Depth diffusion model for detail richness in Text-to-3D
Lingteng Qiu, Guanying Chen, Xiaodong Gu, Qi Zuo, Mutian Xu, Yushuang Wu, Weihao Yuan, Zilong Dong, Liefeng Bo, and Xiaoguang Han · 2023
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MVDream: Multi-view diffusion for 3D generation
Yichun Shi, Peng Wang, Jianglong Ye, Mai Long, Kejie Li, and Xiao Yang · 2023
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DreamCraft3D: Hierarchical 3D generation with bootstrapped diffusion prior
Jingxiang Sun, Bo Zhang, Ruizhi Shao, Lizhen Wang, Wen Liu, Zhenda Xie, and Yebin Liu · 2023
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TextMesh: Generation of realistic 3D meshes from text prompts
Christina Tsalicoglou, Fabian Manhardt, Alessio Tonioni, Michael Niemeyer, and Federico Tombari · 2023
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Large-strain surface modeling using plasticity
Jiahao Wen, Bohan Wang, and Jernej Barbic · 2023
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DMV3D: Denoising Multi-View diffusion using 3D large reconstruction model
Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu, and Kai Zhang · 2023
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Meshanything: Artist-created mesh generation with autoregressive transformers
Yiwen Chen, Tong He, Di Huang, Weicai Ye, Sijin Chen, Jiaxiang Tang, Xin Chen, Zhongang Cai, Lei Yang, Gang Yu, et al · 2024
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Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering
Antoine Guédon and Vincent Lepetit · 2024
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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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Dmesh: A differentiable representation for general meshes
Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C Lin, and Yi Zhou · 2024
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LGM: Large Multi-View gaussian model for High-Resolution 3D content creation
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Single-View 3D human digitalization with large reconstruction models
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Mosaic-sdf for 3d generative models
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Gs-lrm: Large reconstruction model for 3d gaussian splatting
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