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Existing neural rendering-based text-to-3D-portrait generation methods typically make use of human geometry prior and diffusion models to obtain guidance.
Generative Adversarial Nets. In Advances in Neural Information Processing Systems , Vol. 27. 2672–2680
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
SMPL: a skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black. 2015 · 2015
Earlier work this paper cites.
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. In 4th International Conference on Learning Representations, ICLR
Alec Radford, Luke Metz, and Soumith Chintala. 2016 · 2016
Earlier work this paper cites.
Improved Training of Wasserstein GANs. In Advances in Neural Information Processing Systems , Vol. 30. 5767–5777
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, and Aaron C. Courville. 2017 · 2017
Earlier work this paper cites.
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. In Advances in Neural Information Processing Systems , Vol. 30. 6626–6637
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
DensePose: Dense Human Pose Estimation in the Wild. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR . 7297–7306
Riza Alp Güler, Natalia Neverova, and Iasonas Kokkinos. 2018 · 2018
Earlier work this paper cites.
Progressive Growing of GANs for Improved Quality, Stability, and Variation. In 6th International Conference on Learning Representations, ICLR
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen. 2018 · 2018
Earlier work this paper cites.
Visual Object Networks: Image Generation with Disentangled 3D Representations. In Advances in Neural Information Processing Systems , Vol. 31. 118–129
Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, and Bill Freeman. 2018 · 2018
Earlier work this paper cites.
Denoising Diffusion Probabilistic Models. In Advances in Neural Information Processing Systems , Vol. 33. 6840–6851
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
Earlier work this paper cites.
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I (Lecture Notes in Computer Science, Vol. 12346) . 405–421
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020 · 2020
Earlier work this paper cites.
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images. In Advances in Neural Information Processing Systems , Vol. 33. 6767–6778
Thu H Nguyen-Phuoc, Christian Richardt, Long Mai, Yongliang Yang, and Niloy Mitra. 2020 · 2020
Earlier work this paper cites.
imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . 5461–5470
Thiemo Alldieck, Hongyi Xu, and Cristian Sminchisescu. 2021 · 2021
Earlier work this paper cites.
Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR . 5799–5809
Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein. 2021 · 2021
Earlier work this paper cites.
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP . 7514–7528
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi. 2021 · 2021
Earlier work this paper cites.
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction. In Advances in Neural Information Processing Systems , Vol. 34. 27171–27183
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang. 2021 · 2021
Earlier work this paper cites.
Efficient Geometry-aware 3D Generative Adversarial Networks. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR . 16102–16112
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, Tero Karras, and Gordon Wetzstein. 2022 · 2022
Earlier work this paper cites.
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. In Advances in Neural Information Processing Systems , Vol. 35. 31841–31854
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, and Sanja Fidler. 2022 · 2022
Earlier work this paper cites.
StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis. In The 10th International Conference on Learning Representations, ICLR
Jiatao Gu, Lingjie Liu, Peng Wang, and Christian Theobalt. 2022 · 2022
Earlier work this paper cites.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022
Cited alongside, same era.
High-Resolution Image Synthesis With Latent Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 10684–10695
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
Cited alongside, same era.
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids. In Advances in Neural Information Processing Systems , Vol. 35. 33999–34011
Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, and Andreas Geiger. 2022 · 2022
Cited alongside, same era.
EpiGRAF: Rethinking training of 3D GANs
Ivan Skorokhodov, Sergey Tulyakov, Yiqun Wang, and Peter Wonka. 2022 · 2022
Cited alongside, same era.
Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars
LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
Yixun Liang, Xin Yang, Jiantao Lin, Haodong Li, Xiaogang Xu, and Yingcong Chen. 2023 · 2023
Later among the works it cites.
TADA! Text to Animatable Digital Avatars
Tingting Liao, Hongwei Yi, Yuliang Xiu, Jiaxiang Tang, Yangyi Huang, Justus Thies, and Michael J. Black. 2023 · 2023
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HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
Xian Liu, Jian Ren, Aliaksandr Siarohin, Ivan Skorokhodov, Yanyu Li, Dahua Lin, Xihui Liu, Ziwei Liu, and Sergey Tulyakov. 2023a · 2023
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HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting
Xian Liu, Xiaohang Zhan, Jiaxiang Tang, Ying Shan, Gang Zeng, Dahua Lin, Xihui Liu, and Ziwei Liu. 2023b · 2023
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Jingxiang Sun, Xuan Wang, Lizhen Wang, Xiaoyu Li, Yong Zhang, Hongwen Zhang, and Yebin Liu. 2022 · 2022
Cited alongside, same era.
Single-Image 3D Human Digitization with Shape-Guided Diffusion. In SIGGRAPH Asia 2023 Conference Papers . Article 62, 11 pages
Badour Albahar, Shunsuke Saito, Hung-Yu Tseng, Changil Kim, Johannes Kopf, and Jia-Bin Huang. 2023 · 2023
Cited alongside, same era.
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360deg. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR . 20950–20959
Sizhe An, Hongyi Xu, Yichun Shi, Guoxian Song, Umit Y. Ogras, and Linjie Luo. 2023 · 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. 2023b · 2023
Cited alongside, same era.
HeadSculpt: Crafting 3D Head Avatars with Text
Xiao Han, Yukang Cao, Kai Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang, and Kwan-Yee K. Wong. 2023 · 2023
Cited alongside, same era.
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions. In IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023 . IEEE, 19683–19693
Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, and Angjoo Kanazawa. 2023 · 2023
Cited alongside, same era.
SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion
Hsuan-I Ho, Jie Song, and Otmar Hilliges. 2023 · 2023
Cited alongside, same era.
HumanLiff: Layer-wise 3D Human Generation with Diffusion Model
Shoukang Hu, Fangzhou Hong, Tao Hu, Liang Pan, Haiyi Mei, Weiye Xiao, Lei Yang, and Ziwei Liu. 2023 · 2023
Cited alongside, same era.
DreamFusion: Text-to-3D using 2D Diffusion. In The 11th International Conference on Learning Representations, ICLR
Ben Poole, Ajay Jain, Jonathan T. Barron, and Ben Mildenhall. 2023 · 2023
Later among the works it cites.
Real-Time Radiance Fields for Single-Image Portrait View Synthesis
Alex Trevithick, Matthew A. Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, and Koki Nagano. 2023 · 2023
Later among the works it cites.
AniPortraitGAN: Animatable 3D Portrait Generation from 2D Image Collections. In SIGGRAPH Asia 2023 Conference Papers, SA 2023, Sydney, NSW, Australia, December 12-15, 2023 , June Kim, Ming C. Lin, and Bernd Bickel (Eds.). ACM, 51:1–51:9
Yue Wu, Sicheng Xu, Jianfeng Xiang, Fangyun Wei, Qifeng Chen, Jiaolong Yang, and Xin Tong. 2023b · 2023
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High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023 . IEEE, 321–331
Jiaxin Xie, Hao Ouyang, Jingtan Piao, Chenyang Lei, and Qifeng Chen. 2023 · 2023
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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. 2023a · 2023
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Progressive Text-to-3D Generation for Automatic 3D Prototyping
Han Yi, Zhedong Zheng, Xiangyu Xu, and Tat-Seng Chua. 2023 · 2023
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3D GAN Inversion with Facial Symmetry Prior. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023 . IEEE, 342–351
Fei Yin, Yong Zhang, Xuan Wang, Tengfei Wang, Xiaoyu Li, Yuan Gong, Yanbo Fan, Xiaodong Cun, Ying Shan, Cengiz Öztireli, and Yujiu Yang. 2023 · 2023
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AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose
Huichao Zhang, Bowen Chen, Hao Yang, Liao Qu, Xu Wang, Li Chen, Chao Long, Feida Zhu, Kang Du, and Min Zheng. 2023a · 2023
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AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text
Jianfeng Zhang, Xuanmeng Zhang, Huichao Zhang, Jun Hao Liew, Chenxu Zhang, Yi Yang, and Jiashi Feng. 2023c · 2023
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Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos
Alfredo Rivero, ShahRukh Athar, Zhixin Shu, and Dimitris Samaras. 2024 · 2024
Closest in time.
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
Alex Trevithick, Matthew A. Chan, Towaki Takikawa, Umar Iqbal, Shalini De Mello, Manmohan Chandraker, Ravi Ramamoorthi, and Koki Nagano. 2024 · 2024
Closest in time.
GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation
Jie Wang, Jiu-Cheng Xie, Xianyan Li, Feng Xu, Chi-Man Pun, and Hao Gao. 2024 · 2024
Closest in time.
TECA: Text-Guided Generation and Editing of Compositional 3D Avatars
Hao Zhang, Yao Feng, Peter Kulits, Yandong Wen, Justus Thies, and Michael J. Black. 2024 · 2024
Closest in time.
HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting
Zhenglin Zhou, Fan Ma, Hehe Fan, and Yi Yang. 2024 · 2024
Closest in time.