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MVF-Net: Multi-View 3D Face Morphable Model Regression [article]

Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu
2019 arXiv   pre-print
While recent studies have shown impressive progress in 3D Morphable Model (3DMM) based facial reconstruction, the settings are mostly restricted to a single view.  ...  We address the problem of recovering the 3D geometry of a human face from a set of facial images in multiple views.  ...  Morphable 3D Face Model (3DMM) Blanz and Vetter [2] introduced the 3D morphable model to represent textured 3D faces using linear combinations of a set of shape and texture bases, which is derived from  ... 
arXiv:1904.04473v1 fatcat:rtf53cohq5bslpqsa2kcbuiqqq

Topologically Consistent Multi-View Face Inference Using Volumetric Sampling [article]

Tianye Li and Shichen Liu and Timo Bolkart and Jiayi Liu and Hao Li and Yajie Zhao
2021 arXiv   pre-print
High-fidelity face digitization solutions often combine multi-view stereo (MVS) techniques for 3D reconstruction and a non-rigid registration step to establish dense correspondence across identities and  ...  Most learning-based methods use an underlying 3D morphable model (3DMM) to ensure robustness, but this limits the output accuracy for extreme facial expressions.  ...  Mvf-net: face capture and reenactment of rgb videos. In CVPR, 2016. Multi-view 3d face morphable model regression.  ... 
arXiv:2110.02948v1 fatcat:d6be6b66jneotjjco4ybkj2lym

Learning to Deblur and Rotate Motion-Blurred Faces [article]

Givi Meishvili, Attila Szabó, Simon Jenni, Paolo Favaro
2021 arXiv   pre-print
and a new Bern Multi-View Face Dataset (BMFD) that we built.  ...  The first two datasets provide a large variety of faces and allow our model to generalize better.  ...  Mvf-net: Multi-view 3d face morphable model re- gression. In CVPR, 2019. [53] Xiangyu Xu, Deqing Sun, Jinshan Pan, Yujin Zhang, Hanspeter Pfister, and Ming- Hsuan Yang.  ... 
arXiv:2112.07599v1 fatcat:tysnbsszwbfuvj7ug4jqno3x3i

Full Face-and-Head 3D Model with Photorealistic Texture

Yangyu Fan, Yang Liu, Guoyun Lv, Shiya Liu, Gen Li, Yanhui Huang
2020 IEEE Access  
INDEX TERMS 3D face reconstruction, full face-and-head model, 3D Morphable Model, UV texture, Generative Adversarial Networks. VOLUME XX, 2020 1 FIGURE 1. Overview of our proposed method.  ...  In the recent period, significant progress has been achieved towards reconstructing the 3D face model from face image.  ...  In [24] , Wu addressed the problem of recovering the 3D geometry of a humankind face from multiview facial images and proposed a method to regress 3D model parameters from multi-view input with end-to-end  ... 
doi:10.1109/access.2020.3031886 fatcat:zzwmtc5ugbc75i5ln5xf66d3zy

Facial Geometric Detail Recovery via Implicit Representation [article]

Xingyu Ren, Alexandros Lattas, Baris Gecer, Jiankang Deng, Chao Ma, Xiaokang Yang, Stefanos Zafeiriou
2022 arXiv   pre-print
Finally, we register the implicit shape details to a 3D Morphable Model template, which can be used in traditional modeling and rendering pipelines.  ...  However, these techniques typically require vast datasets of paired multi-view data or 3D scans, whereas such datasets are scarce and expensive.  ...  In addition, we also compare with multi-view reconstruction methods, including MVF-Net [69] , DFNRMVS [5] and IDR [71] . These three methods require three views, while ours is single-view.  ... 
arXiv:2203.09692v1 fatcat:wpijnit2ybb3xmgjclryrfgm7q

Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape

Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li
2022 IEEE Transactions on Pattern Analysis and Machine Intelligence  
3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori.  ...  However, previous reconstructed 3D faces suffer from degraded visual verisimilitude due to the loss of fine-grained geometry, which is attributed to insufficient ground-truth 3D shapes, unreliable training  ...  MVF-Net uses the MultiPIE [46] samples collected by 15 cameras for multiview 3DMM parameters regression. Shang et al.  ... 
doi:10.1109/tpami.2022.3164131 pmid:35363609 fatcat:vo7wj576nzf7lioahqzwpdph6a