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Recent text-guided generation of individual 3D object has achieved great success using diffusion priors.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Nerv: Neural reflectance and visibility fields for relighting and view synthesis, 2020
Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, and Jonathan T. Barron · 2020
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Deformed implicit field: Modeling 3d shapes with learned dense correspondence
Yu Deng, Jiaolong Yang, and Xin Tong · 2021
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Editing conditional radiance fields
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, and Bryan Russell · 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
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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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Ref-nerf: Structured view-dependent appearance for neural radiance fields, 2021
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan T. Barron, and Pratul P. Srinivasan · 2021
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Clip-nerf: Text-and-image driven manipulation of neural radiance fields. 2022 ieee
Can Wang, Menglei Chai, Mingming He, Dongdong Chen, and Jing Liao · 2021
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Nerfactor: neural factorization of shape and reflectance under an unknown illumination
Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul Debevec, William T. Freeman, and Jonathan T. Barron · 2021
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman · 2022
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Unified implicit neural stylization
Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, and Zhangyang Wang · 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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Clip-mesh: Generating textured meshes from text using pretrained image-text models
Nasir Mohammad Khalid, Tianhao Xie, Eugene Belilovsky, and Popa Tiberiu · 2022
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Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
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Neural radiance transfer fields for relightable novel-view synthesis with global illumination, 2022
Linjie Lyu, Ayush Tewari, Thomas Leimkuehler, Marc Habermann, and Christian Theobalt · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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Snerf: stylized neural implicit representations for 3d scenes
Thu Nguyen-Phuoc, Feng Liu, and Lei Xiao · 2022
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Point-e: A system for generating 3d point clouds from complex prompts, 2022
Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Clip-forge: Towards zero-shot text-to-shape generation
Aditya Sanghi, Hang Chu, Joseph G Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, and Kamal Rahimi Malekshan · 2022
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Neural fields in visual computing and beyond
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, and Srinath Sridhar · 2022
Cited alongside, same era.
Sine: Semantic-driven image-based nerf editing with prior-guided editing field
Chong Bao, Yinda Zhang, Bangbang Yang, Tianxing Fan, Zesong Yang, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui · 2023
Cited alongside, same era.
Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A. Efros · 2023
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Text2tex: Text-driven texture synthesis via diffusion models
Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, and Matthias Nießner · 2023
Cited alongside, same era.
ViCA-neRF: View-consistency-aware 3d editing of neural radiance fields
Jiahua Dong and Yu-Xiong Wang · 2023
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Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors, 2023
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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Blending-nerf: Text-driven localized editing in neural radiance fields
Hyeonseop Song, Seokhun Choi, Hoseok Do, Chul Lee, and Taehyeong Kim · 2023
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Nerf-art: Text-driven neural radiance fields stylization
Can Wang, Ruixiang Jiang, Menglei Chai, Mingming He, Dongdong Chen, and Jing Liao · 2023
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Inpaintnerf360: Text-guided 3d inpainting on unbounded neural radiance fields, 2023
Dongqing Wang, Tong Zhang, Alaa Abboud, and Sabine Süsstrunk · 2023
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Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation
Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A Yeh, and Greg Shakhnarovich · 2023
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Blended-nerf: Zero-shot object generation and blending in existing neural radiance fields
Ori Gordon, Omri Avrahami, and Dani Lischinski · 2023
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threestudio: A unified framework for 3d content generation
Yuan-Chen Guo, Ying-Tian Liu, Ruizhi Shao, Christian Laforte, Vikram Voleti, Guan Luo, Chia-Hao Chen, Zi-Xin Zou, Chen Wang, Yan-Pei Cao, and Song-Hai Zhang · 2023
Cited alongside, same era.
Instruct-nerf2nerf: Editing 3d scenes with instructions
Ayaan Haque, Matthew Tancik, Alexei Efros, Aleksander Holynski, and Angjoo Kanazawa · 2023
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3d gaussian splatting for real-time radiance field rendering
Kerbl, Bernhard and Kopanas, Georgios, Thomas Leimkühler, and George Drettakis · 2023
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Lerf: Language embedded radiance fields
Justin Kerr, Chung Min Kim, Ken Goldberg, Angjoo Kanazawa, and Matthew Tancik · 2023
Cited alongside, same era.
3d-aware blending with generative nerfs
Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, and Jun-Yan Zhu · 2023
Cited alongside, same era.
Segment anything, 2023
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
Cited alongside, same era.
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 · 2023
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Relighting neural radiance fields with shadow and highlight hints
Chong Zeng, Guojun Chen, Yue Dong, Pieter Peers, Hongzhi Wu, and Xin Tong · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Michelangelo: Conditional 3d shape generation based on shape-image-text aligned latent representation
Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, BIN FU, Tao Chen, Gang YU, and Shenghua Gao · 2023
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Dreameditor: Text-driven 3d scene editing with neural fields
Jingyu Zhuang, Chen Wang, Liang Lin, Lingjie Liu, and Guanbin Li · 2023
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Gaussianeditor: Swift and controllable 3d editing with gaussian splatting
Yiwen Chen, Zilong Chen, Chi Zhang, Feng Wang, Xiaofeng Yang, Yikai Wang, Zhongang Cai, Lei Yang, Huaping Liu, and Guosheng Lin · 2024
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Text-to-3d using gaussian splatting
Zilong Chen, Feng Wang, and Huaping Liu · 2024
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Gaussianeditor: Editing 3d gaussians delicately with text instructions
Jiemin Fang, Junjie Wang, Xiaopeng Zhang, Lingxi Xie, and Qi Tian · 2024
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Debiasing scores and prompts of 2d diffusion for view-consistent text-to-3d generation
Susung Hong, Donghoon Ahn, and Seungryong Kim · 2024
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Gs-ir: 3d gaussian splatting for inverse rendering, 2024
Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, and Kui Jia · 2024
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Syncdreamer: Generating multiview-consistent images from a single-view image
Yuan Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu, Taku Komura, and Wenping Wang · 2024
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Langsplat: 3d language gaussian splatting
Minghan Qin, Wanhua Li, Jiawei Zhou, Haoqian Wang, and Hanspeter Pfister · 2024
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Inserf: Text-driven generative object insertion in neural 3d scenes
Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc Van Gool, and Federico Tombari · 2024
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Language-driven object fusion into neural radiance fields with pose-conditioned dataset updates
Ka Chun Shum, Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung · 2024
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Dreamgaussian: Generative gaussian splatting for efficient 3d content creation
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng · 2024
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Consistent-1-to-3: Consistent image to 3d view synthesis via geometry-aware diffusion models
Jianglong Ye, Peng Wang, Kejie Li, Yichun Shi, and Heng Wang · 2024
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