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of 5
pro vyhledávání: '"Papantoniou, Foivos Paraperas"'
Autor:
Gerogiannis, Dimitrios, Papantoniou, Foivos Paraperas, Potamias, Rolandos Alexandros, Lattas, Alexandros, Moschoglou, Stylianos, Ploumpis, Stylianos, Zafeiriou, Stefanos
The field of photorealistic 3D avatar reconstruction and generation has garnered significant attention in recent years; however, animating such avatars remains challenging. Recent advances in diffusion models have notably enhanced the capabilities of
Externí odkaz:
http://arxiv.org/abs/2403.17213
Autor:
Papantoniou, Foivos Paraperas, Lattas, Alexandros, Moschoglou, Stylianos, Deng, Jiankang, Kainz, Bernhard, Zafeiriou, Stefanos
This paper presents Arc2Face, an identity-conditioned face foundation model, which, given the ArcFace embedding of a person, can generate diverse photo-realistic images with an unparalleled degree of face similarity than existing models. Despite prev
Externí odkaz:
http://arxiv.org/abs/2403.11641
Autor:
Zheng, Jiali, Jang, Youngkyoon, Papaioannou, Athanasios, Kampouris, Christos, Potamias, Rolandos Alexandros, Papantoniou, Foivos Paraperas, Galanakis, Efstathios, Leonardis, Ales, Zafeiriou, Stefanos
This paper introduces the Imperial Light-Stage Head (ILSH) dataset, a novel light-stage-captured human head dataset designed to support view synthesis academic challenges for human heads. The ILSH dataset is intended to facilitate diverse approaches,
Externí odkaz:
http://arxiv.org/abs/2310.03952
Autor:
Papantoniou, Foivos Paraperas, Lattas, Alexandros, Moschoglou, Stylianos, Zafeiriou, Stefanos
Following the remarkable success of diffusion models on image generation, recent works have also demonstrated their impressive ability to address a number of inverse problems in an unsupervised way, by properly constraining the sampling process based
Externí odkaz:
http://arxiv.org/abs/2305.06077
Autor:
Papantoniou, Foivos Paraperas, Filntisis, Panagiotis P., Maragos, Petros, Roussos, Anastasios
In this paper, we introduce a novel deep learning method for photo-realistic manipulation of the emotional state of actors in "in-the-wild" videos. The proposed method is based on a parametric 3D face representation of the actor in the input scene th
Externí odkaz:
http://arxiv.org/abs/2112.00585