Conference
FaceVision-GAN: A 3D Model Face Reconstruction Method from a Single Image Using GANs
| العنوان: | FaceVision-GAN: A 3D Model Face Reconstruction Method from a Single Image Using GANs |
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| المؤلفون: | Avola D., Cinque L., Foresti G. L., Marini M. R. |
| المساهمون: | Avola, D., Cinque, L., Foresti, G. L., Marini, M. R. |
| بيانات النشر: | Science and Technology Publications, Lda |
| سنة النشر: | 2024 |
| المجموعة: | Università degli Studi di Udine: CINECA IRIS |
| مصطلحات موضوعية: | 2D to 3D Reconstruction, 3D Modelling from Single Image, Face Syntesi, GAN |
| الوصف: | Generative algorithms have been very successful in recent years. This phenomenon derives from the strong computational power that even consumer computers can provide. Moreover, a huge amount of data is available today for feeding deep learning algorithms. In this context, human 3D face mesh reconstruction is becoming an important but challenging topic in computer vision and computer graphics. It could be exploited in different application areas, from security to avatarization. This paper provides a 3D face reconstruction pipeline based on Generative Adversarial Networks (GANs). It can generate high-quality depth and correspondence maps from 2D images, which are exploited for producing a 3D model of the subject’s face. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| Relation: | ispartofbook:International Conference on Pattern Recognition Applications and Methods; 13th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2024; volume:1; firstpage:628; lastpage:632; numberofpages:5; https://hdl.handle.net/11390/1275525; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85190698598 |
| DOI: | 10.5220/0012306200003654 |
| الاتاحة: | https://hdl.handle.net/11390/1275525 https://doi.org/10.5220/0012306200003654 |
| رقم الانضمام: | edsbas.3FD908E7 |
| قاعدة البيانات: | BASE |
| DOI: | 10.5220/0012306200003654 |
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