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With the help of Score Distillation Sampling (SDS) and the rapid development of neural 3D representations, some methods have been proposed to perform 3D editing such as adding additional geometries, or overwriting textures.
Modular primitives for high-performance differentiable rendering
S. Laine, J. Hellsten, T. Karras, Y. Seol, J. Lehtinen, and T. Aila · 2020
Earlier work this paper cites.
Blended diffusion for text-driven editing of natural images
O. Avrahami, D. Lischinski, and O. Fried · 2022
Earlier work this paper cites.
Stylizing 3d scene via implicit representation and hypernetwork
P.-Z. Chiang, M.-S. Tsai, H.-Y. Tseng, W.-S. Lai, and W.-C. Chiu · 2022
Earlier work this paper cites.
Unified implicit neural stylization
Z. Fan, Y. Jiang, P. Wang, X. Gong, D. Xu, and Z. Wang · 2022
Earlier work this paper cites.
Stylegan-nada: Clip-guided domain adaptation of image generators
R. Gal, O. Patashnik, H. Maron, A. H. Bermano, G. Chechik, and D. Cohen-Or · 2022
Earlier work this paper cites.
Prompt-to-prompt image editing with cross-attention control
A. Hertz, R. Mokady, J. Tenenbaum, K. Aberman, Y. Pritch, and D. Cohen-or · 2022
Earlier work this paper cites.
Stylizednerf: consistent 3d scene stylization as stylized nerf via 2d-3d mutual learning
Y.-H. Huang, Y. He, Y.-J. Yuan, Y.-K. Lai, and L. Gao · 2022
Earlier work this paper cites.
Repaint: Inpainting using denoising diffusion probabilistic models
A. Lugmayr, M. Danelljan, A. Romero, F. Yu, R. Timofte, and L. Van Gool · 2022
Earlier work this paper cites.
Dreamfusion: Text-to-3d using 2d diffusion
B. Poole, A. Jain, J. T. Barron, and B. Mildenhall · 2022
Earlier work this paper cites.
Arf: Artistic radiance fields
K. Zhang, N. Kolkin, S. Bi, F. Luan, Z. Xu, E. Shechtman, and N. Snavely · 2022
Cited alongside, same era.
M. Armandpour, H. Zheng, A. Sadeghian, A. Sadeghian, and M. Zhou · 2023
Cited alongside, same era.
Fantasia3d: Disentangling geometry and appearance for high-quality text-to-3d content creation
R. Chen, Y. Chen, N. Jiao, and K. Jia · 2023
Cited alongside, same era.
Objaverse: A universe of annotated 3d objects
M. Deitke, D. Schwenk, J. Salvador, L. Weihs, O. Michel, E. VanderBilt, L. Schmidt, K. Ehsani, A. Kembhavi, and A. Farhadi · 2023
Cited alongside, same era.
threestudio: A unified framework for 3d content generation
Y.-C. Guo, Y.-T. Liu, R. Shao, C. Laforte, V. Voleti, G. Luo, C.-H. Chen, Z.-X. Zou, C. Wang, Y.-P. Cao, and S.-H. Zhang · 2023
Cited alongside, same era.
Richdreamer: A generalizable normal-depth diffusion model for detail richness in text-to-3d
L. Qiu, G. Chen, X. Gu, Q. Zuo, M. Xu, Y. Wu, W. Yuan, Z. Dong, L. Bo, and X. Han · 2023
Closest in time.
Dreambooth3d: Subject-driven text-to-3d generation
A. Raj, S. Kaza, B. Poole, M. Niemeyer, N. Ruiz, B. Mildenhall, S. Zada, K. Aberman, M. Rubinstein, J. Barron, et al · 2023
Closest in time.
Vox-e: Text-guided voxel editing of 3d objects
E. Sella, G. Fiebelman, P. Hedman, and H. Averbuch-Elor · 2023
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Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation
H. Wang, X. Du, J. Li, R. A. Yeh, and G. Shakhnarovich · 2023
Closest in time.
Zero-shot contrastive loss for text-guided diffusion image style transfer
S. Yang, H. Hwang, and J. C. Ye · 2023
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Kv inversion: Kv embeddings learning for text-conditioned real image action editing
J. Huang, Y. Liu, J. Qin, and S. Chen · 2023
Cited alongside, same era.
Imagic: Text-based real image editing with diffusion models
B. Kawar, S. Zada, O. Lang, O. Tov, H. Chang, T. Dekel, I. Mosseri, and M. Irani · 2023
Cited alongside, same era.
Sked: Sketch-guided text-based 3d editing
A. Mikaeili, O. Perel, M. Safaee, D. Cohen-Or, and A. Mahdavi-Amiri · 2023
Cited alongside, same era.
Focaldreamer: Text-driven 3d editing via focal-fusion assembly
Y. Li, Y. Dou, Y. Shi, Y. Lei, X. Chen, Y. Zhang, P. Zhou, and B. Ni
Cited in the paper.
Photomaker: Customizing realistic human photos via stacked id embedding
Z. Li, M. Cao, X. Wang, Z. Qi, M.-M. Cheng, and Y. Shan
Cited in the paper.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
N. Ruiz, Y. Li, V. Jampani, Y. Pritch, M. Rubinstein, and K. Aberman
Cited in the paper.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
N. Ruiz, Y. Li, V. Jampani, Y. Pritch, M. Rubinstein, and K. Aberman
Cited in the paper.
H. Ye, J. Zhang, S. Liu, X. Han, and W. Yang · 2023
Closest in time.
Adding conditional control to text-to-image diffusion models
L. Zhang, A. Rao, and M. Agrawala · 2023
Closest in time.
Dreameditor: Text-driven 3d scene editing with neural fields
J. Zhuang, C. Wang, L. Liu, L. Lin, and G. Li · 2023
Closest in time.