Fetching the paper…
Reading the bibliography…
Text-driven 3D scene editing has gained significant attention owing to its convenience and user-friendliness.
Multi-concept customization of text-to-image diffusion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1931–1941
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, and Jun-Yan Zhu. 2023 · 1941
Earlier work this paper cites.
Structure-from-Motion Revisited. In Conference on Computer Vision and Pattern Recognition (CVPR)
Johannes Lutz Schönberger and Jan-Michael Frahm. 2016 · 2016
Earlier work this paper cites.
LoRA: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
Earlier work this paper cites.
Mine: Towards continuous depth mpi with nerf for novel view synthesis. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 12578–12588
Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, and Gim Hee Lee. 2021 · 2021
Earlier work this paper cites.
Sdedit: Guided image synthesis and editing with stochastic differential equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon. 2021 · 2021
Earlier work this paper cites.
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 · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision. In ICML 2021 . 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, and et al. 2021 · 2021
Earlier work this paper cites.
Neutex: Neural texture mapping for volumetric neural rendering. In CVPR 2021 . 7119–7128
Fanbo Xiang, Zexiang Xu, Milos Hasan, and et al. 2021 · 2021
Earlier work this paper cites.
pixelnerf: Neural radiance fields from one or few images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4578–4587
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa. 2021 · 2021
Earlier work this paper cites.
Blended diffusion for text-driven editing of natural images. In CVPR 2022 . 18208–18218
Omri Avrahami, Dani Lischinski, and Ohad Fried. 2022 · 2022
Earlier work this paper cites.
InstructPix2Pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros. 2022 · 2022
Earlier work this paper cites.
DiffEdit: Diffusion-based semantic image editing with mask guidance
Guillaume Couairon, Jakob Verbeek, Holger Schwenk, and Matthieu Cord. 2022 · 2022
Earlier work this paper cites.
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
Congyue Deng, Chiyu Jiang, Charles R Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov, et al · 2022
Earlier work this paper cites.
An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or. 2022 · 2022
Earlier work this paper cites.
Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or. 2022 · 2022
Earlier work this paper cites.
Imagic: Text-based real image editing with diffusion models
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, and Michal Irani. 2022 · 2022
Earlier work this paper cites.
Decomposing NeRF for editing via feature field distillation
Sosuke Kobayashi, Eiichi Matsumoto, and Vincent Sitzmann. 2022 · 2022
Earlier work this paper cites.
Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, and Tsung-Yi Lin. 2022 · 2022
Earlier work this paper cites.
NeRF-In: Free-form NeRF inpainting with RGB-D priors
Hao-Kang Liu, I Shen, Bing-Yu Chen, et al · 2022
Earlier work this paper cites.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022
Earlier work this paper cites.
DreamFusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall. 2022 · 2022
Cited alongside, same era.
Hierarchical text-conditional image generation with CLIP latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models. In CVPR 2022 . 10684–10695
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
Cited alongside, same era.
DreamBooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2022 · 2022
Cited alongside, same era.
Photorealistic text-to-image diffusion models with deep language understanding
Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training
Runze He, Shaofei Huang, Xuecheng Nie, and et al. Hui, Tianrui. 2023 · 2023
Later among the works it cites.
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis. 2023 · 2023
Later among the works it cites.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, and et al. Mao, Hanzi. 2023a · 2023
Later among the works it cites.
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. 2023b · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Chitwan Saharia, William Chan, and Saurabh et al. Saxena. 2022 · 2022
Cited alongside, same era.
Compressible-composable nerf via rank-residual decomposition
Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, and Gang Zeng. 2022 · 2022
Cited alongside, same era.
CLIP-NeRF: Text-and-image driven manipulation of neural radiance fields. In CVPR 2022 . 3835–3844
Can Wang, Menglei Chai, Mingming He, and et al. 2022 · 2022
Cited alongside, same era.
Deforming radiance fields with cages. In Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXXIII . Springer, 159–175
Tianhan Xu and Tatsuya Harada. 2022 · 2022
Cited alongside, same era.
NeuMesh: Learning disentangled neural mesh-based implicit field for geometry and texture editing. In ECCV 2022 . Springer, 597–614
Bangbang Yang, Chong Bao, and Junyi et al. Zeng. 2022 · 2022
Cited alongside, same era.
NeRF-editing: geometry editing of neural radiance fields. In CVPR 2022 . 18353–18364
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, and et al. 2022 · 2022
Cited alongside, same era.
Break-a-scene: Extracting multiple concepts from a single image. In SIGGRAPH Asia 2023 Conference Papers . 1–12
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, and Dani Lischinski. 2023 · 2023
Cited alongside, same era.
SINE: Semantic-driven image-based nerf editing with prior-guided editing field. In CVPR 2023 . 20919–20929
Chong Bao, Yinda Zhang, and Bangbang et al. Yang. 2023 · 2023
Cited alongside, same era.
Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi. 2023 · 2023
Later among the works it cites.
RealFusion: 360 { \{ \ \backslash deg } \} Reconstruction of Any Object from a Single Image
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, and Andrea Vedaldi. 2023 · 2023
Later among the works it cites.
DINOv2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, and et al. Vo, Huy. 2023 · 2023
Later among the works it cites.
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
Later among the works it cites.
DreamBooth3D: Subject-Driven Text-to-3D Generation
Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan Barron, et al · 2023
Later among the works it cites.
Texture: Text-guided texturing of 3D shapes
Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, and Daniel Cohen-Or. 2023 · 2023
Later among the works it cites.
Vox-E: Text-guided Voxel Editing of 3D Objects
Etai Sella, Gal Fiebelman, Peter Hedman, and Hadar Averbuch-Elor. 2023 · 2023
Later among the works it cites.
Make-it-3D: High-fidelity 3D creation from a single image with diffusion prior
Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, and Dong Chen. 2023 · 2023
Later among the works it cites.
Mesh-Guided Neural Implicit Field Editing
Can Wang, Mingming He, Menglei Chai, Dongdong Chen, and Jing Liao. 2023a · 2023
Later among the works it cites.
NeRF-Art: Text-driven neural radiance fields stylization
Can Wang, Ruixiang Jiang, Menglei Chai, and et al. He, Mingming. 2023b · 2023
Later among the works it cites.
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. 2023c · 2023
Later among the works it cites.
De-nerf: Decoupled neural radiance fields for view-consistent appearance editing and high-frequency environmental relighting. In ACM SIGGRAPH 2023 conference proceedings . 1–11
Tong Wu, Jia-Mu Sun, Yu-Kun Lai, and Lin Gao. 2023 · 2023
Later among the works it cites.
Fastcomposer: Tuning-free multi-subject image generation with localized attention
Guangxuan Xiao, Tianwei Yin, William T Freeman, Frédo Durand, and Song Han. 2023 · 2023
Later among the works it cites.
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
Later among the works it cites.
DreamEditor: Text-driven 3d scene editing with neural fields. In SIGGRAPH Asia 2023 Conference Papers . 1–10
Jingyu Zhuang, Chen Wang, Liang Lin, Lingjie Liu, and Guanbin Li. 2023 · 2023
Later among the works it cites.
GenN2N: Generative NeRF2NeRF Translation
Xiangyue Liu, Han Xue, Kunming Luo, Ping Tan, and Li Yi. 2024 · 2024
Closest in time.