[18] Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Ben Mildenhall, Nataniel Ruiz, Shiran Zada, Kfir Aberman, Michael Rubenstein, Jonathan Barron, Yuanzhen Li, and Varun Jampani. Dreambooth3D: Subject-driven text-to-3D generation. ICCV, 2023. 3
[19] Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall. DreamFusion: Text-to-3D using 2D diffusion. In ICLR, 2023.
[20] Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, and Tsung-Yi Lin. Magic3D: High-resolution text-to-3D content creation. In CVPR, 2023. 3
[21] Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, and Rana Hanocka. Text2Mesh: Text-driven neural stylization for meshes. In CVPR, 2022. 3
[22] Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, and Bryan Russell. Editing conditional radiance fields. In ICCV, 2021. 3
[23] Sosuke Kobayashi, Eiichi Matsumoto, and Vincent Sitzmann. Decomposing NeRF for editing via feature field distillation. In NeurIPS, 2022.
[24] Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui. Learning object-compositional neural radiance field for editable scene rendering. In ICCV, 2021.
[25] Pei-Ze Chiang, Meng-Shiun Tsai, Hung-Yu Tseng, Wei-Sheng Lai, and Wei-Chen Chiu. Stylizing 3D scene via implicit representation and hypernetwork. In WACV, 2022.
[26] Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh, and Ming-Hsuan Yang. Learning to stylize novel views. In ICCV, 2021.
[27] Yi-Hua Huang, Yue He, Yu-Jie Yuan, Yu-Kun Lai, and Lin Gao. StylizedNeRF: Consistent 3D scene stylization as stylized NeRF via 2D-3D mutual learning. In CVPR, 2022.
[28] Qiling Wu, Jianchao Tan, and Kun Xu. PaletteNeRF: Palette-based color editing for NeRFs. In CVPR, 2023.
[29] Chong Bao, Yinda Zhang, Bangbang Yang, Tianxing Fan, Zesong Yang, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui. SINE: Semantic-driven image-based NeRF editing with prior-guided editing field. In CVPR, 2023.
[30] Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, and Noah Snavely. ARF: Artistic radiance fields. In ECCV, 2022.
[31] Thu Nguyen-Phuoc, Feng Liu, and Lei Xiao. SNeRF: Stylized neural implicit representations for 3D scenes. In WACV, 2022.
[32] Clément Jambon, Bernhard Kerbl, Georgios Kopanas, Stavros Diolatzis, Thomas Leimkuhler, and George Drettakis. NeRFshop: Interactive editing of neural radiance fields. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 6(1), 2023. 3
[33] Jun-Kun Chen, Jipeng Lyu, and Yu-Xiong Wang. NeuralEditor: Editing neural radiance fields via manipulating point clouds. In CVPR, 2023. 3
[34] Can Wang, Ruixiang Jiang, Mengei Chai, Mingming He, Dongdong Chen, and Jing Liao. Nerf-art: Text-driven neural radiance fields stylization. IEEE Transactions on Visualization and Computer Graphics, pages 1-15, 2023. 3, 7, 8
[35] Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. Learning transferable visual models from natural language supervision. In ICML, 2021. 3
[36] Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, and Takuya Narihira. Instruct 3D-to-3D: Text instruction guided 3D-to-3D conversion. arXiv preprint arXiv:2303.15780, 2023.3
[37] Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, Piotr Dolkar, and Ross Girshick. Segment anything. In ICCV, 2023. 10