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Emerging Metaverse applications demand accessible, accurate, and easy-to-use tools for 3D digital human creations in order to depict different cultures and societies as if in the physical world.
A morphable model for the synthesis of 3D faces. In Proceedings of the 26th annual conference on Computer graphics and interactive techniques . 187–194
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Production-level facial performance capture using deep convolutional neural networks. In Proceedings of the ACM SIGGRAPH/Eurographics symposium on computer animation . 1–10
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Learning a model of facial shape and expression from 4D scans
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Deep appearance models for face rendering
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Generating 3D faces using convolutional mesh autoencoders. In Proceedings of the European Conference on Computer Vision (ECCV) . 704–720
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High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
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A decoupled 3d facial shape model by adversarial training. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 9419–9428
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Generation High resolution 3D model from natural language by Generative Adversarial Network
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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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Synthesizing coupled 3d face modalities by trunk-branch generative adversarial networks. In European conference on computer vision . Springer, 415–433
Baris Gecer, Alexandros Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, and Stefanos Zafeiriou. 2020 · 2020
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Generative Adversarial Networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2020 · 2020
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Denoising diffusion probabilistic models
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Analyzing and Improving the Image Quality of StyleGAN. In Proc. CVPR
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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
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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 Inouye, and Nojun Kwak. 2020 · 2020
Cited alongside, same era.
Dynamic Facial Asset and Rig Generation from a Single Scan
J. Li, Z. Kuang, Y. Zhao, M. He, and H. Li. 2020b · 2020
Cited alongside, same era.
Towards unsupervised learning of generative models for 3d controllable image synthesis. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 5871–5880
Yiyi Liao, Katja Schwarz, Lars Mescheder, and Andreas Geiger. 2020 · 2020
Cited alongside, same era.
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan, David J Fleet, Mohammad Norouzi, and Tim Salimans. 2022 · 2022
Later among the works it cites.
AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
Fangzhou Hong, Mingyuan Zhang, Liang Pan, Zhongang Cai, Lei Yang, and Ziwei Liu. 2022b · 2022
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Zero-shot text-guided object generation with dream fields. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 867–876
Ajay Jain, Ben Mildenhall, Jonathan T Barron, Pieter Abbeel, and Ben Poole. 2022 · 2022
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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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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
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Stylerig: Rigging stylegan for 3d control over portrait images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 6142–6151
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhofer, and Christian Theobalt. 2020 · 2020
Cited alongside, same era.
Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face prediction. In Proceedings of the ieee/cvf conference on computer vision and pattern recognition . 601–610
Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, and Xun Cao. 2020 · 2020
Cited alongside, same era.
High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies
Linchao Bao, Xiangkai Lin, Yajing Chen, Haoxian Zhang, Sheng Wang, Xuefei Zhe, Di Kang, Haozhi Huang, Xinwei Jiang, Jue Wang, Dong Yu, and Zhengyou Zhang. 2021 · 2021
Cited alongside, same era.
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
Yao Feng, Haiwen Feng, Michael J. Black, and Timo Bolkart. 2021 · 2021
Cited alongside, same era.
Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction
Baris Gecer, Stylianos Ploumpis, Irene Kotsia, and Stefanos P Zafeiriou. 2021 · 2021
Cited alongside, same era.
Avatarme++: Facial shape and brdf inference with photorealistic rendering-aware gans
Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Baris Gecer, Abhijeet Ghosh, and Stefanos Zafeiriou. 2021 · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Semi-Supervised Video-Driven Facial Animation Transfer for Production
Lucio Moser, Chinyu Chien, Mark Williams, Jose Serra, Darren Hendler, and Doug Roble. 2021 · 2021
Cited alongside, same era.
Later among the works it cites.
3d-fm gan: Towards 3d-controllable face manipulation. In European Conference on Computer Vision . Springer, 107–125
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, and SY Kung. 2022 · 2022
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Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, and Daniel Cohen-Or. 2022 · 2022
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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
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Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022
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Extracting Triangular 3D Models, Materials, and Lighting From Images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8280–8290
Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, and Sanja Fidler. 2022 · 2022
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CLIP-VIT-Large-Patch14
OpenAI. 2022 · 2022
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StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 13503–13513
Roy Or-El, Xuan Luo, Mengyi Shan, Eli Shechtman, Jeong Joon Park, and Ira Kemelmacher-Shlizerman. 2022 · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall. 2022 · 2022
Later among the works it cites.
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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High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 10684–10695
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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Stable Diffusion v1.5
RunwayML. 2022 · 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 Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi. 2022 · 2022
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CLIP-Forge: Towards Zero-Shot Text-To-Shape Generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 18603–18613
Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, and Kamal Rahimi Malekshan. 2022 · 2022
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Stable-dreamfusion: Text-to-3D with Stable-diffusion
Jiaxiang Tang. 2022 · 2022
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Decoding Latents to RGB Without Upscaling
Kevin Turner. 2022 · 2022
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RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs
Zhouxia Wang, Jiawei Zhang, Runjian Chen, Wenping Wang, and Ping Luo. 2022 · 2022
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Video-Driven Neural Physically-Based Facial Asset for Production
Longwen Zhang, Chuxiao Zeng, Qixuan Zhang, Hongyang Lin, Ruixiang Cao, Wei Yang, Lan Xu, and Jingyi Yu. 2022 · 2022
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Mofanerf: Morphable facial neural radiance field. In European Conference on Computer Vision . Springer, 268–285
Yiyu Zhuang, Hao Zhu, Xusen Sun, and Xun Cao. 2022 · 2022
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3DScanStore
3DScanStore. 2023 · 2023
Closest in time.
ARKit - Face Tracking
Apple. 2023 · 2023
Closest in time.
Styleclip: Text-driven manipulation of stylegan imagery. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 2085–2094
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski. 2021 · 2094
Closest in time.