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Capturing and editing full head performances enables the creation of virtual characters with various applications such as extended reality and media production.
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
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PIE: Portrait Image Embedding for Semantic Control
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Neural Voice Puppetry: Audio-driven Facial Reenactment
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Diffusion Models Beat GANs on Image Synthesis. In Advances in Neural Information Processing Systems , M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, and J. Wortman Vaughan (Eds.), Vol. 34. Curran Associates, Inc., 8780–8794
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Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction
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Neural Head Avatars from Monocular RGB Videos
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Real-time high-resolution background matting. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8762–8771
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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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Dreamfusion: Text-to-3d using 2d diffusion
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VoRF: Volumetric Relightable Faces
Pramod Rao, Mallikarjun B R, Gereon Fox, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Ayush Tewari, Christian Theobalt, and Mohamed Elgharib. 2022 · 2022
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High-Resolution Image Synthesis with Latent Diffusion Models. In Computer Vision and Pattern Recognition (CVPR)
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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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
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Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
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VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting
Feitong Tan, Sean Fanello, Abhimitra Meka, Sergio Orts-Escolano, Danhang Tang, Rohit Pandey, Jonathan Taylor, Ping Tan, and Yinda Zhang. 2022 · 2022
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NeRF-Art: Text-Driven Neural Radiance Fields Stylization
Can Wang, Ruixiang Jiang, Menglei Chai, Mingming He, Dongdong Chen, and Jing Liao. 2022 · 2022
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VToonify: Controllable High-Resolution Portrait Video Style Transfer
Shuai Yang, Liming Jiang, Ziwei Liu, and Chen Change Loy. 2022 · 2022
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SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris Metaxas, and Jian Ren. 2022 · 2022
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I M Avatar: Implicit Morphable Head Avatars from Videos. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) . IEEE, Piscataway, NJ, 13535–13545
Yufeng Zheng, Victoria Fernández Abrevaya, Marcel C. Bühler, Xu Chen, Michael J. Black, and Otmar Hilliges. 2022 · 2022
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InstructPix2Pix: Learning to Follow Image Editing Instructions. In CVPR
Tim Brooks, Aleksander Holynski, and Alexei A. Efros. 2023 · 2023
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Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
Ayaan Haque, Matthew Tancik, Alexei Efros, Aleksander Holynski, and Angjoo Kanazawa. 2023 · 2023
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NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads
Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, and Matthias Nießner. 2023 · 2023
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RealFusion: 360° Reconstruction of Any Object from a Single Image. In Arxiv
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, and Andrea Vedaldi. 2023 · 2023
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FaceLit: Neural 3D Relightable Faces. In CVPR
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, and Oncel Tuzel. 2023 · 2023
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HQ3DAvatar: High Quality Controllable 3D Head Avatar
Kartik Teotia, Xingang Pan, Hyeongwoo Kim, Pablo Garrido, Mohamed Elgharib, Christian Theobalt, et al · 2023
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