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Recent progress in 3D object generation has greatly improved both the quality and efficiency.
The four-colour theorem
Neil Robertson, Daniel Sanders, Paul Seymour, and Robin Thomas · 1997
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Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1998
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Obtaining a bipartite graph by contracting few edges
Pinar Heggernes, Pim Van’T Hof, Daniel Lokshtanov, and Christophe Paul · 2013
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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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Flow matching for generative modeling
Yaron Lipman, Ricky TQ Chen, Heli Ben-Hamu, Maximilian Nickel, and Matt Le · 2022
Earlier work this paper cites.
Flow straight and fast: Learning to generate and transfer data with rectified flow
Xingchao Liu, Chengyue Gong, and Qiang Liu · 2022
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Point-e: A system for generating 3d point clouds from complex prompts
Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, and Mark Chen · 2022
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Large-vocabulary 3d diffusion model with transformer
Ziang Cao, Fangzhou Hong, Tong Wu, Liang Pan, and Ziwei Liu · 2023
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Single-stage diffusion nerf: A unified approach to 3d generation and reconstruction
Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, and Hao Su · 2023
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Primdiffusion: Volumetric primitives diffusion for 3d human generation
Zhaoxi Chen, Fangzhou Hong, Haiyi Mei, Guangcong Wang, Lei Yang, and Ziwei Liu · 2023
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Sdfusion: Multimodal 3d shape completion, reconstruction, and generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander G Schwing, and Liang-Yan Gui · 2023
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Objaverse-xl: A universe of 10m+ 3d objects
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, et al · 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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3dgen: Triplane latent diffusion for textured mesh generation
Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, and Barlas Oğuz · 2023
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Shap-e: Generating conditional 3d implicit functions
Heewoo Jun and Alex Nichol · 2023
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization
Minghua Liu, Chao Xu, Haian Jin, Linghao Chen, Zexiang Xu, Hao Su, et al · 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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Diffrf: Rendering-guided 3d radiance field diffusion
Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulo, Peter Kontschieder, and Matthias Nießner · 2023
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Autodecoding latent 3d diffusion models
Evangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc Van Gool, and Sergey Tulyakov · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Volumediffusion: Flexible text-to-3d generation with efficient volumetric encoder
Zhicong Tang, Shuyang Gu, Chunyu Wang, Ting Zhang, Jianmin Bao, Dong Chen, and Baining Guo · 2023
Cited alongside, same era.
Rodin: A generative model for sculpting 3d digital avatars using diffusion
Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, et al · 2023
Cited alongside, same era.
Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding
Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, and Silvio Savarese · 2023
Cited alongside, same era.
Mosaic-sdf for 3d generative models
Lior Yariv, Omri Puny, Natalia Neverova, Oran Gafni, and Yaron Lipman · 2023
Cited alongside, same era.
3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models
Edgerunner: Auto-regressive auto-encoder for artistic mesh generation
Jiaxiang Tang, Zhaoshuo Li, Zekun Hao, Xian Liu, Gang Zeng, Ming-Yu Liu, and Qinsheng Zhang · 2024
Later among the works it cites.
Pivotmesh: Generic 3d mesh generation via pivot vertices guidance
Haohan Weng, Yikai Wang, Tong Zhang, CL Chen, and Jun Zhu · 2024
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Scaling mesh generation via compressive tokenization
Haohan Weng, Zibo Zhao, Biwen Lei, Xianghui Yang, Jian Liu, Zeqiang Lai, Zhuo Chen, Yuhong Liu, Jie Jiang, Chunchao Guo, et al · 2024
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Direct3d: Scalable image-to-3d generation via 3d latent diffusion transformer
Shuang Wu, Youtian Lin, Feihu Zhang, Yifei Zeng, Jingxi Xu, Philip Torr, Xun Cao, and Yao Yao · 2024
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Biao Zhang, Jiapeng Tang, Matthias Niessner, and Peter Wonka · 2023
Cited alongside, same era.
Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, and Shenghua Gao · 2023
Cited alongside, same era.
Locally attentional sdf diffusion for controllable 3d shape generation
Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, and Heung-Yeung Shum · 2023
Cited alongside, same era.
Partgen: Part-level 3d generation and reconstruction with multi-view diffusion models
Minghao Chen, Roman Shapovalov, Iro Laina, Tom Monnier, Jianyuan Wang, David Novotny, and Andrea Vedaldi · 2024
Cited alongside, same era.
Dora: Sampling and benchmarking for 3d shape variational auto-encoders
Rui Chen, Jianfeng Zhang, Yixun Liang, Guan Luo, Weiyu Li, Jiarui Liu, Xiu Li, Xiaoxiao Long, Jiashi Feng, and Ping Tan · 2024
Cited alongside, same era.
Meshxl: Neural coordinate field for generative 3d foundation models
Sijin Chen, Xin Chen, Anqi Pang, Xianfang Zeng, Wei Cheng, Yijun Fu, Fukun Yin, Yanru Wang, Zhibin Wang, Chi Zhang, et al · 2024
Cited alongside, same era.
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
Cited alongside, same era.
Meshanything v2: Artist-created mesh generation with adjacent mesh tokenization
Yiwen Chen, Yikai Wang, Yihao Luo, Zhengyi Wang, Zilong Chen, Jun Zhu, Chi Zhang, and Guosheng Lin · 2024
Cited alongside, same era.
Jianfeng Xiang, Zelong Lv, Sicheng Xu, Yu Deng, Ruicheng Wang, Bowen Zhang, Dong Chen, Xin Tong, and Jiaolong Yang · 2024
Later among the works it cites.
Brepgen: A b-rep generative diffusion model with structured latent geometry
Xiang Xu, Joseph Lambourne, Pradeep Jayaraman, Zhengqing Wang, Karl Willis, and Yasutaka Furukawa · 2024
Later among the works it cites.
Ulip-2: Towards scalable multimodal pre-training for 3d understanding
Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, et al · 2024
Later among the works it cites.
An object is worth 64x64 pixels: Generating 3d object via image diffusion
Xingguang Yan, Han-Hung Lee, Ziyu Wan, and Angel X Chang · 2024
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Sampart3d: Segment any part in 3d objects
Yunhan Yang, Yukun Huang, Yuan-Chen Guo, Liangjun Lu, Xiaoyang Wu, Edmund Y Lam, Yan-Pei Cao, and Xihui Liu · 2024
Later among the works it cites.
Clay: A controllable large-scale generative model for creating high-quality 3d assets
Longwen Zhang, Ziyu Wang, Qixuan Zhang, Qiwei Qiu, Anqi Pang, Haoran Jiang, Wei Yang, Lan Xu, and Jingyi Yu · 2024
Later among the works it cites.
Uni3d: Exploring unified 3d representation at scale
Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, and Xinlong Wang · 2024
Later among the works it cites.
Unleashing vecset diffusion model for fast shape generation, 2025
Zeqiang Lai, Yunfei Zhao, Zibo Zhao, Haolin Liu, Fuyun Wang, Huiwen Shi, Xianghui Yang, Qinxiang Lin, Jinwei Huang, Yuhong Liu, Jie Jiang, Chunchao Guo, and Xiangyu Yue · 2025
Closest in time.
Triposg: High-fidelity 3d shape synthesis using large-scale rectified flow models
Yangguang Li, Zi-Xin Zou, Zexiang Liu, Dehu Wang, Yuan Liang, Zhipeng Yu, Xingchao Liu, Yuan-Chen Guo, Ding Liang, Wanli Ouyang, et al · 2025
Closest in time.
Treemeshgpt: Artistic mesh generation with autoregressive tree sequencing
Stefan Lionar, Jiabin Liang, and Gim Hee Lee · 2025
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Partfield: Learning 3d feature fields for part segmentation and beyond
Minghua Liu, Mikaela Angelina Uy, Donglai Xiang, Hao Su, Sanja Fidler, Nicholas Sharp, and Jun Gao · 2025
Closest in time.
iflame: Interleaving full and linear attention for efficient mesh generation
Hanxiao Wang, Biao Zhang, Weize Quan, Dong-Ming Yan, and Peter Wonka · 2025
Closest in time.
Holopart: Generative 3d part amodal segmentation
Yunhan Yang, Yuan-Chen Guo, Yukun Huang, Zi-Xin Zou, Zhipeng Yu, Yangguang Li, Yan-Pei Cao, and Xihui Liu · 2025
Closest in time.
Hi3dgen: High-fidelity 3d geometry generation from images via normal bridging
Chongjie Ye, Yushuang Wu, Ziteng Lu, Jiahao Chang, Xiaoyang Guo, Jiaqing Zhou, Hao Zhao, and Xiaoguang Han · 2025
Closest in time.
Deepmesh: Auto-regressive artist-mesh creation with reinforcement learning
Ruowen Zhao, Junliang Ye, Zhengyi Wang, Guangce Liu, Yiwen Chen, Yikai Wang, and Jun Zhu · 2025
Closest in time.
Hunyuan3d 2.0: Scaling diffusion models for high resolution textured 3d assets generation
Zibo Zhao, Zeqiang Lai, Qingxiang Lin, Yunfei Zhao, Haolin Liu, Shuhui Yang, Yifei Feng, Mingxin Yang, Sheng Zhang, Xianghui Yang, et al · 2025
Closest in time.