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We propose ClipFace, a novel self-supervised approach for text-guided editing of textured 3D morphable model of faces.
A Morphable Model for the Synthesis of 3D Faces. In Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH ’99) . ACM Press/Addison-Wesley Publishing Co., USA, 187–194
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A 3D Face Model for Pose and Illumination Invariant Face Recognition
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Diederik P. Kingma and Jimmy Ba. 2014 · 2014
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SMPL: A Skinned Multi-Person Linear Model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black. 2015 · 2015
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Morphable Face Models - An Open Framework
Thomas Gerig, Andreas Morel-Forster, Clemens Blumer, Bernhard Egger, Marcel Lüthi, Sandro Schönborn, and Thomas Vetter. 2017 · 2017
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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 · 2017
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Progressive Growing of GANs for Improved Quality, Stability, and Variation. In International Conference on Learning Representations
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen. 2018 · 2018
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ArcFace: Additive Angular Margin Loss for Deep Face Recognition. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 4685–4694
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Photometric FLAME Fitting
Haven Feng. 2019 · 2019
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GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Baris Gecer, Stylianos Ploumpis, Irene Kotsia, and Stefanos Zafeiriou. 2019 · 2019
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A Style-Based Generator Architecture for Generative Adversarial Networks. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 4396–4405
Tero Karras, Samuli Laine, and Timo Aila. 2019 · 2019
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Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning. In IEEE Computer Vision and Pattern Recognition
Yu Deng, Jiaolong Yang, Dong Chen, Fang Wen, and Xin Tong. 2020 · 2020
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Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks. In Proceedings of the European conference on computer vision (ECCV) . Springer
Baris Gecer, Alexander Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, and Stefanos Zafeiriou. 2020 · 2020
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GIF: Generative Interpretable Faces. In International Conference on 3D Vision (3DV) . 868–878
Partha Ghosh, Pravir Singh Gupta, Roy Uziel, Anurag Ranjan, Michael J. Black, and Timo Bolkart. 2020 · 2020
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CONFIG: Controllable Neural Face Image Generation. In European Conference on Computer Vision (ECCV)
Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrušaitis, Matthew Johnson, and Jamie Shotton. 2020 · 2020
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Modular Primitives for High-Performance Differentiable Rendering
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, and Timo Aila. 2020 · 2020
Cited alongside, same era.
AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild". In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Alexandros Lattas, Stylianos Moschoglou, Baris Gecer, Stylianos Ploumpis, Vasileios Triantafyllou, Abhijeet Ghosh, and Stefanos Zafeiriou. 2020 · 2020
Cited alongside, same era.
StyleUV: Diverse and High-fidelity UV Map Generative Model
Myunggi Lee, Wonwoong Cho, Moonheum Kim, David I. Inouye, and Nojun Kwak. 2020 · 2020
Cited alongside, same era.
Learning Formation of Physically-Based Face Attributes. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Ruilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Bipin Kishore, Jun Xing, and Hao Li. 2020 · 2020
Cited alongside, same era.
A 3D GAN for Improved Large-pose Facial Recognition
Richard T. Marriott, Sami Romdhani, and Liming Chen. 2021 · 2021
Later among the works it cites.
Learning Transferable Visual Models From Natural Language Supervision. In Proceedings of the 38th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 139) , Marina Meila and Tong Zhang (Eds.). PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021 · 2021
Later among the works it cites.
Zero-Shot Text-to-Image Generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021 · 2021
Later among the works it cites.
Blended diffusion for text-driven editing of natural images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 18208–18218
Omri Avrahami, Dani Lischinski, and Ohad Fried. 2022 · 2022
Closest in time.
Text and Image Guided 3D Avatar Generation and Manipulation
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StyleRig: Rigging StyleGAN for 3D Control over Portrait Images, CVPR 2020. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zöllhofer, and Christian Theobalt. 2020a · 2020
Cited alongside, same era.
PIE: Portrait Image Embedding for Semantic Control
Ayush Tewari, Mohamed Elgharib, Mallikarjun B R, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, and Christian Theobalt. 2020b · 2020
Cited alongside, same era.
CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions
Rameen Abdal, Peihao Zhu, John Femiani, Niloy J. Mitra, and Peter Wonka. 2021a · 2021
Cited alongside, same era.
StyleFlow: Attribute-Conditioned Exploration of StyleGAN-Generated Images Using Conditional Continuous Normalizing Flows
Rameen Abdal, Peihao Zhu, Niloy J. Mitra, and Peter Wonka. 2021b · 2021
Cited alongside, same era.
David Bau, Alex Andonian, Audrey Cui, YeonHwan Park, Ali Jahanian, Aude Oliva, and Antonio Torralba. 2021 · 2021
Cited alongside, same era.
Efficient Geometry-aware 3D Generative Adversarial Networks. In arXiv
Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, and Gordon Wetzstein. 2021 · 2021
Cited alongside, same era.
VQGAN-CLIP
Katherine Crowson. 2021 · 2021
Cited alongside, same era.
DALL·E Mini
Boris Dayma, Suraj Patil, Pedro Cuenca, Khalid Saifullah, Tanishq Abraham, Phuc Le Khac, Luke Melas, and Ritobrata Ghosh. 2021 · 2021
Cited alongside, same era.
Zehranaz Canfes, M. Furkan Atasoy, Alara Dirik, and Pinar Yanardag. 2022 · 2022
Closest in time.
AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
Fangzhou Hong, Mingyuan Zhang, Liang Pan, Zhongang Cai, Lei Yang, and Ziwei Liu. 2022 · 2022
Closest in time.
CLIP-Mesh: Generating textured meshes from text using pretrained image-text models
Nasir Mohammad Khalid, Tianhao Xie, Eugene Belilovsky, and Popa Tiberiu. 2022 · 2022
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StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) . 895–904
Umut Kocasari, Alara Dirik, Mert Tiftikci, and Pinar Yanardag. 2022 · 2022
Closest in time.
3D-FM GAN: Towards 3D-Controllable Face Manipulation
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, and S. Y. Kung. 2022 · 2022
Closest in time.
Text2Mesh: Text-Driven Neural Stylization for Meshes. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 13492–13502
Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, and Rana Hanocka. 2022 · 2022
Closest in time.
TEMOS: Generating diverse human motions from textual descriptions. In European Conference on Computer Vision (ECCV)
Mathis Petrovich, Michael J. Black, and Gül Varol. 2022 · 2022
Closest in time.
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 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
Closest in time.
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction. In Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XIII (Tel Aviv, Israel). Springer-Verlag, Berlin, Heidelberg, 212–229
Ron Slossberg, Ibrahim Jubran, and Ron Kimmel. 2022 · 2022
Closest in time.
HairCLIP: Design Your Hair by Text and Reference Image. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 18072–18081
Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Zhentao Tan, Lu Yuan, Weiming Zhang, and Nenghai Yu. 2022 · 2022
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CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes. In ECCV
Kim Youwang, Kim Ji-Yeon, and Tae-Hyun Oh. 2022 · 2022
Closest in time.
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . 2085–2094
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski. 2021 · 2094
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