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We introduce 3D Gaussian blendshapes for modeling photorealistic head avatars.
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Towards a Complete 3D Morphable Model of the Human Head
Stylianos Ploumpis, Evangelos Ververas, Eimear O’ Sullivan, Stylianos Moschoglou, Haoyang Wang, Nick E. Pears, William A. P. Smith, Baris Gecer, and Stefanos Zafeiriou. 2021 · 2020
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FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020 . Computer Vision Foundation / IEEE, 598–607
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Riggable 3D Face Reconstruction via In-Network Optimization. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021 . Computer Vision Foundation / IEEE, 6216–6225
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Learning an animatable detailed 3D face model from in-the-wild images
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Dynamic neural radiance fields for monocular 4d facial avatar reconstruction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8649–8658
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Mixture of volumetric primitives for efficient neural rendering
Stephen Lombardi, Tomas Simon, Gabriel Schwartz, Michael Zollhoefer, Yaser Sheikh, and Jason Saragih. 2021 · 2021
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i3DMM: Deep Implicit 3D Morphable Model of Human Heads. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021 . Computer Vision Foundation / IEEE, 12803–12813
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Reconstructing personalized semantic facial nerf models from monocular video
Xuan Gao, Chenglai Zhong, Jun Xiang, Yang Hong, Yudong Guo, and Juyong Zhang. 2022 · 2022
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Neural head avatars from monocular rgb videos. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 18653–18664
Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, and Justus Thies. 2022 · 2022
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Helisa Dhamo, Yinyu Nie, Arthur Moreau, Jifei Song, Richard Shaw, Yiren Zhou, and Eduardo Pérez-Pellitero. 2023 · 2023
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3D Gaussian Splatting for Real-Time Radiance Field Rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis. 2023 · 2023
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GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, and Matthias Nießner. 2023 · 2023
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Relightable Gaussian Codec Avatars
Shunsuke Saito, Gabriel Schwartz, Tomas Simon, Junxuan Li, and Giljoo Nam. 2023 · 2023
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GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation
Jie Wang, Jiu-Cheng Xie, Xianyan Li, Feng Xu, Chi-Man Pun, and Hao Gao. 2023 · 2023
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FlashAvatar: High-Fidelity Digital Avatar Rendering at 300FPS
Jun Xiang, Xuan Gao, Yudong Guo, and Juyong Zhang. 2023 · 2023
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Avatarmav: Fast 3d head avatar reconstruction using motion-aware neural voxels. In ACM SIGGRAPH 2023 Conference Proceedings . 1–10
Yuelang Xu, Lizhen Wang, Xiaochen Zhao, Hongwen Zhang, and Yebin Liu. 2023b · 2023
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LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar. In ACM SIGGRAPH 2023 Conference Proceedings
Yuelang Xu, Hongwen Zhang, Lizhen Wang, Xiaochen Zhao, Huang Han, Qi Guojun, and Yebin Liu. 2023c · 2023
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Pointavatar: Deformable point-based head avatars from videos. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 21057–21067
Yufeng Zheng, Wang Yifan, Gordon Wetzstein, Michael J Black, and Otmar Hilliges. 2023 · 2023
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Instant volumetric head avatars. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4574–4584
Wojciech Zielonka, Timo Bolkart, and Justus Thies. 2023 · 2023
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