Zobrazeno 1 - 10
of 451
pro vyhledávání: '"Gecer, A."'
Autor:
Eyduran Sadiye Peral, Ercisli Sezai, Ilhan Gulce, Ersoy Nilda, Ozkan Gursel, Bozhuyuk Mehmet Ramazan, Gecer Mustafa Kenan, Hasanbegovic Jasna, Assouguem Amine, Lahlali Rachid, Farah Abdellah, Ullah Riaz, Iqbal Zafar
Publikováno v:
Folia Horticulturae, Vol 36, Iss 2, Pp 323-335 (2024)
Red raspberries are among the most significant wild edible fruits (WEFs) in Türkiye, thriving in cold to warm temperate regions across the country. This study focuses on 11 wild red raspberry ecotypes sampled from the Northern Anatolia region, exami
Externí odkaz:
https://doaj.org/article/6e2335cf375f40e091c6e647334baa32
Autor:
Lattas, Alexandros, Moschoglou, Stylianos, Ploumpis, Stylianos, Gecer, Baris, Deng, Jiankang, Zafeiriou, Stefanos
In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering optimization pipeline, that can be used to acquire high-fidelity renderable human avatars from single or multiple images. The model consists of a multi-modal
Externí odkaz:
http://arxiv.org/abs/2305.09641
Despite the recent success of image generation and style transfer with Generative Adversarial Networks (GANs), hair synthesis and style transfer remain challenging due to the shape and style variability of human hair in in-the-wild conditions. The cu
Externí odkaz:
http://arxiv.org/abs/2210.12524
Facial 3D Morphable Models are a main computer vision subject with countless applications and have been highly optimized in the last two decades. The tremendous improvements of deep generative networks have created various possibilities for improving
Externí odkaz:
http://arxiv.org/abs/2209.07366
Autor:
Ren, Xingyu, Lattas, Alexandros, Gecer, Baris, Deng, Jiankang, Ma, Chao, Yang, Xiaokang, Zafeiriou, Stefanos
Learning a dense 3D model with fine-scale details from a single facial image is highly challenging and ill-posed. To address this problem, many approaches fit smooth geometries through facial prior while learning details as additional displacement ma
Externí odkaz:
http://arxiv.org/abs/2203.09692
Autor:
Lattas, Alexandros, Moschoglou, Stylianos, Ploumpis, Stylianos, Gecer, Baris, Ghosh, Abhijeet, Zafeiriou, Stefanos
Over the last years, many face analysis tasks have accomplished astounding performance, with applications including face generation and 3D face reconstruction from a single "in-the-wild" image. Nevertheless, to the best of our knowledge, there is no
Externí odkaz:
http://arxiv.org/abs/2112.05957
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021)
A lot of work has been done towards reconstructing the 3D facial structure from single images by capitalizing on the power of Deep Convolutional Neural Networks (DCNNs). In the recent works, the texture features either correspond to components of a l
Externí odkaz:
http://arxiv.org/abs/2105.07474
Autor:
Jourabloo, Amin, Gecer, Baris, De la Torre, Fernando, Saragih, Jason, Wei, Shih-En, Wang, Te-Li, Lombardi, Stephen, Belko, Danielle, Trimble, Autumn, Badino, Hernan
Social presence, the feeling of being there with a real person, will fuel the next generation of communication systems driven by digital humans in virtual reality (VR). The best 3D video-realistic VR avatars that minimize the uncanny effect rely on p
Externí odkaz:
http://arxiv.org/abs/2104.04794
We introduce Curvy-an interactive design tool to generate varying density support structures for 3D printing. Support structures are essential for printing models with extreme overhangs. Yet, they often cause defects on contact areas, resulting in po
Externí odkaz:
http://arxiv.org/abs/2102.10013
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 7628-7638
The last few years have witnessed the great success of non-linear generative models in synthesizing high-quality photorealistic face images. Many recent 3D facial texture reconstruction and pose manipulation from a single image approaches still rely
Externí odkaz:
http://arxiv.org/abs/2012.15370