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We introduce GaussianAvatar-Editor, an innovative framework for text-driven editing of animatable Gaussian head avatars that can be fully controlled in expression, pose, and viewpoint.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Learning a model of facial shape and expression from 4d scans
Tianye Li, Timo Bolkart, Michael J Black, Hao Li, and Javier Romero · 2017
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Nerf: Representing scenes as neural radiance fields for view synthesis
B Mildenhall, PP Srinivasan, M Tancik, JT Barron, R Ramamoorthi, and R Ng · 2020
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Dynamic neural radiance fields for monocular 4d facial avatar reconstruction
Guy Gafni, Justus Thies, Michael Zollhofer, and Matthias Nießner · 2021
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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
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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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Text2live: Text-driven layered image and video editing
Omer Bar-Tal, Dolev Ofri-Amar, Rafail Fridman, Yoni Kasten, and Tali Dekel · 2022
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Efficient geometry-aware 3d generative adversarial networks
Eric R Chan, Connor Z Lin, Matthew A Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J Guibas, Jonathan Tremblay, Sameh Khamis, et al · 2022
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Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 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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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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Clip-nerf: Text-and-image driven manipulation of neural radiance fields
Can Wang, Menglei Chai, Mingming He, Dongdong Chen, and Jing Liao · 2022
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Im avatar: Implicit morphable head avatars from videos
Yufeng Zheng, Victoria Fernández Abrevaya, Marcel C Bühler, Xu Chen, Michael J Black, and Otmar Hilliges · 2022
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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
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Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros · 2023
Cited alongside, same era.
Monogaussianavatar: Monocular gaussian point-based head avatar
Yufan Chen, Lizhen Wang, Qijing Li, Hongjiang Xiao, Shengping Zhang, Hongxun Yao, and Yebin Liu · 2023
Cited alongside, same era.
Headgas: Real-time animatable head avatars via 3d gaussian splatting
Helisa Dhamo, Yinyu Nie, Arthur Moreau, Jifei Song, Richard Shaw, Yiren Zhou, and Eduardo Pérez-Pellitero · 2023
Cited alongside, same era.
Textdeformer: Geometry manipulation using text guidance
William Gao, Noam Aigerman, Thibault Groueix, Vova Kim, and Rana Hanocka · 2023
Cited alongside, same era.
Instruct-nerf2nerf: Editing 3d scenes with instructions
Ayaan Haque, Matthew Tancik, Alexei A Efros, Aleksander Holynski, and Angjoo Kanazawa · 2023
Cited alongside, same era.
Vox-e: Text-guided voxel editing of 3d objects
Etai Sella, Gal Fiebelman, Peter Hedman, and Hadar Averbuch-Elor · 2023
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Control4d: Dynamic portrait editing by learning 4d gan from 2d diffusion-based editor
Ruizhi Shao, Jingxiang Sun, Cheng Peng, Zerong Zheng, Boyao Zhou, Hongwen Zhang, and Yebin Liu · 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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Sketch-guided text-to-image diffusion models
Andrey Voynov, Kfir Aberman, and Daniel Cohen-Or · 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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Dreameditor: Text-driven 3d scene editing with neural fields
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Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, and Takuya Narihira · 2023
Cited alongside, same era.
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 · 2023
Cited alongside, same era.
3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
Cited alongside, same era.
Nersemble: Multi-view radiance field reconstruction of human heads
Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, and Matthias Nießner · 2023
Cited alongside, same era.
Null-text inversion for editing real images using guided diffusion models
Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2023
Cited alongside, same era.
Avatarstudio: Text-driven editing of 3d dynamic human head avatars
Mohit Mendiratta Pan, Mohamed Elgharib, Kartik Teotia, Ayush Tewari, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt, et al · 2023
Cited alongside, same era.
Gaussianavatars: Photorealistic head avatars with rigged 3d gaussians
Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, and Matthias Nießner · 2023
Cited alongside, same era.
Jingyu Zhuang, Chen Wang, Liang Lin, Lingjie Liu, and Guanbin Li · 2023
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Instant volumetric head avatars
Wojciech Zielonka, Timo Bolkart, and Justus Thies · 2023
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Genn2n: Generative nerf2nerf translation
Xiangyue Liu, Han Xue, Kunming Luo, Ping Tan, and Li Yi · 2024
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Styleavatar: Stylizing animatable head avatars
Juan C Pérez, Thu Nguyen-Phuoc, Chen Cao, Artsiom Sanakoyeu, Tomas Simon, Pablo Arbeláez, Bernard Ghanem, Ali Thabet, and Albert Pumarola · 2024
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Relightable gaussian codec avatars
Shunsuke Saito, Gabriel Schwartz, Tomas Simon, Junxuan Li, and Giljoo Nam · 2024
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Gaussianhead: High-fidelity head avatars with learnable gaussian derivation, 2024
Jie Wang, Jiu-Cheng Xie, Xianyan Li, Feng Xu, Chi-Man Pun, and Hao Gao · 2024
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Gaussian head avatar: Ultra high-fidelity head avatar via dynamic gaussians
Yuelang Xu, Benwang Chen, Zhe Li, Hongwen Zhang, Lizhen Wang, Zerong Zheng, and Yebin Liu · 2024
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Zhongyuan Zhao, Zhenyu Bao, Qing Li, Guoping Qiu, and Kanglin Liu · 2024
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Tip-editor: An accurate 3d editor following both text-prompts and image-prompts
Jingyu Zhuang, Di Kang, Yan-Pei Cao, Guanbin Li, Liang Lin, and Ying Shan · 2024
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