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We are witnessing rapid progress in automatically generating and manipulating 3D assets due to the availability of pretrained text-image diffusion models.
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3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
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Learning Adaptive Hierarchical Cuboid Abstractions of 3D Shape Collections
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Dualsdf: Semantic Shape Manipulation Using a Two-Level Representation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 7631–7641
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Denoising Diffusion Probabilistic Models
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Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 10286–10296
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Stylegan-nada: Clip-guided Domain Adaptation of Image Generators
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KeyPointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12783–12792
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Editing Conditional Radiance Fields. In Proceedings of the IEEE/CVF international conference on computer vision . 5773–5783
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Sdedit: Guided Image Synthesis and Editing with Stochastic Differential Equations
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
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Learning Transferable Visual Models From Natural Language Supervision. In International Conference on Machine Learning
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Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
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Neutex: Neural Texture Mapping for Volumetric Neural Rendering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 7119–7128
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Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds
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ChangeIt3D: Language-Assisted 3D Shape Edits and Deformations. In Conference on Computer Vision and Pattern Recognition (CVPR) , Vol. 2
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Tango: Text-Driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
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Cross-Modal 3D Shape Generation and Manipulation. In European Conference on Computer Vision . Springer, 303–321
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Cited alongside, same era.
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 · 2022
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VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations
Stephan J Garbin, Marek Kowalski, Virginia Estellers, Stanislaw Szymanowicz, Shideh Rezaeifar, Jingjing Shen, Matthew Johnson, and Julien Valentin. 2022 · 2022
Cited alongside, same era.
Prompt-to-Prompt Image Editing with Cross Attention Control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or. 2022a · 2022
Cited alongside, same era.
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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TextDeformer: Geometry Manipulation using Text Guidance. In ACM SIGGRAPH 2023 Conference Proceedings . 1–11
William Gao, Noam Aigerman, Thibault Groueix, Vova Kim, and Rana Hanocka. 2023 · 2023
Closest in time.
Tokenflow: Consistent Diffusion Features for Consistent Video Editing
Michal Geyer, Omer Bar-Tal, Shai Bagon, and Tali Dekel. 2023 · 2023
Closest in time.
Shap-E: Generating Conditional 3D Implicit Functions
Heewoo Jun and Alex Nichol. 2023 · 2023
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Salad: Part-level Latent Diffusion for 3D Shape Generation and Manipulation. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 14441–14451
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Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, and Daniel Cohen-Or. 2022b · 2022
Cited alongside, same era.
LoRA: Low-Rank Adaptation of Large Language Models. In International Conference on Learning Representations
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022 · 2022
Cited alongside, same era.
LADIS: Language Disentanglement for 3D Shape Editing
Ian Huang, Panos Achlioptas, Tianyi Zhang, Sergey Tulyakov, Minhyuk Sung, and Leonidas Guibas. 2022 · 2022
Cited alongside, same era.
Zero-Shot Text-Guided Object Generation with Dream Fields. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 867–876
Ajay Jain, Ben Mildenhall, Jonathan T Barron, Pieter Abbeel, and Ben Poole. 2022 · 2022
Cited alongside, same era.
Understanding Pure Clip Guidance for Voxel Grid NeRF Models
Han-Hung Lee and Angel X Chang. 2022 · 2022
Cited alongside, same era.
Towards Implicit Text-Guided 3D Shape Generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 17896–17906
Zhengzhe Liu, Yi Wang, Xiaojuan Qi, and Chi-Wing Fu. 2022 · 2022
Cited alongside, same era.
Text2Mesh: Text-Driven Neural Stylization for Meshes. In CVPR
Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, and Rana Hanocka. 2022 · 2022
Cited alongside, same era.
Point-e: A System for Generating 3D Point Clouds from Complex Prompts
Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, and Mark Chen. 2022 · 2022
Cited alongside, same era.
Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, and Minhyuk Sung. 2023 · 2023
Closest in time.
Pose Space Deformation: A Unified Approach to Shape Interpolation and Skeleton-Driven Deformation
John P Lewis, Matt Cordner, and Nickson Fong. 2023 · 2023
Closest in time.
Magic3D: High-resolution Text-To-3D Content Creation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 300–309
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 · 2023
Closest in time.
EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation
Zhengzhe Liu, Jingyu Hu, Ka-Hei Hui, Xiaojuan Qi, Daniel Cohen-Or, and Chi-Wing Fu. 2023 · 2023
Closest in time.
Cross-Shape Attention for Part Segmentation of 3D Point Clouds. In Computer Graphics Forum , Vol. 42. Wiley Online Library, e14909
Marios Loizou, Siddhant Garg, Dmitry Petrov, Melinos Averkiou, and Evangelos Kalogerakis. 2023 · 2023
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Realfusion: 360deg Reconstruction of any Object from a Single Image. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 8446–8455
Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, and Andrea Vedaldi. 2023 · 2023
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Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 12663–12673
Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, and Daniel Cohen-Or. 2023 · 2023
Closest in time.
Localizing Object-Level Shape Variations with Text-to-Image Diffusion Models
Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, and Daniel Cohen-Or. 2023 · 2023
Closest in time.
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, et al · 2023
Closest in time.
TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, and Daniel Cohen-Or. 2023 · 2023
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Dreambooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 22500–22510
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2023 · 2023
Closest in time.
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 18339–18348
Aditya Sanghi, Rao Fu, Vivian Liu, Karl DD Willis, Hooman Shayani, Amir H Khasahmadi, Srinath Sridhar, and Daniel Ritchie. 2023 · 2023
Closest in time.
Vox-E: Text-guided Voxel Editing of 3D Objects
Etai Sella, Gal Fiebelman, Peter Hedman, and Hadar Averbuch-Elor. 2023 · 2023
Closest in time.
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng. 2023 · 2023
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Generating Part-Aware Editable 3D Shapes without 3D Supervision. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4466–4478
Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Emiris, Yannis Avrithis, and Leonidas Guibas. 2023 · 2023
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ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, and Jun Zhu. 2023b · 2023
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Tune-a-Video: One-shot Tuning of Image Diffusion Models for Text-to-Video Generation. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 7623–7633
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Stan Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, and Mike Zheng Shou. 2023 · 2023
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GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
Taoran Yi, Jiemin Fang, Guanjun Wu, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Qi Tian, and Xinggang Wang. 2023 · 2023
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Adding Conditional Control to Text-To-Image Diffusion Mdels. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 3836–3847
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala. 2023 · 2023
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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 · 2023
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DreamEditor: Text-Driven 3D Scene Editing with Neural Fields
Jingyu Zhuang, Chen Wang, Lingjie Liu, Liang Lin, and Guanbin Li. 2023 · 2023
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