no code implementations • 5 Apr 2024 • George Retsinas, Panagiotis P. Filntisis, Radek Danecek, Victoria F. Abrevaya, Anastasios Roussos, Timo Bolkart, Petros Maragos
Instead, SMIRK replaces the differentiable rendering with a neural rendering module that, given the rendered predicted mesh geometry, and sparsely sampled pixels of the input image, generates a face image.
1 code implementation • 11 Dec 2023 • Georgios Milis, Panagiotis P. Filntisis, Anastasios Roussos, Petros Maragos
Our method, which we call NEUral Text to ARticulate Talk (NEUTART), is a talking face generator that uses a joint audiovisual feature space, as well as speech-informed 3D facial reconstructions and a lip-reading loss for visual supervision.
1 code implementation • 28 Sep 2022 • Petros Tzathas, Petros Maragos, Anastasios Roussos
In recent years, implicit surface representations through neural networks that encode the signed distance have gained popularity and have achieved state-of-the-art results in various tasks (e. g. shape representation, shape reconstruction, and learning shape priors).
no code implementations • 3 Sep 2022 • Christina O. Tze, Panagiotis P. Filntisis, Athanasia-Lida Dimou, Anastasios Roussos, Petros Maragos
In this paper, we introduce a neural rendering pipeline for transferring the facial expressions, head pose, and body movements of one person in a source video to another in a target video.
1 code implementation • 22 Jul 2022 • Panagiotis P. Filntisis, George Retsinas, Foivos Paraperas-Papantoniou, Athanasios Katsamanis, Anastasios Roussos, Petros Maragos
The recent state of the art on monocular 3D face reconstruction from image data has made some impressive advancements, thanks to the advent of Deep Learning.
1 code implementation • CVPR 2022 • Foivos Paraperas Papantoniou, Panagiotis P. Filntisis, Petros Maragos, Anastasios Roussos
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.
1 code implementation • 15 Nov 2021 • Girish Kumar Solanki, Anastasios Roussos
We focus on interactive manipulation of the videos by altering and controlling the facial expressions, achieving promising photorealistic results.
1 code implementation • 17 Jun 2020 • Michail Christos Doukas, Mohammad Rami Koujan, Viktoriia Sharmanska, Anastasios Roussos
Facial video re-targeting is a challenging problem aiming to modify the facial attributes of a target subject in a seamless manner by a driving monocular sequence.
no code implementations • 22 May 2020 • Mohammad Rami Koujan, Michail Christos Doukas, Anastasios Roussos, Stefanos Zafeiriou
Video-to-video synthesis is a challenging problem aiming at learning a translation function between a sequence of semantic maps and a photo-realistic video depicting the characteristics of a driving video.
no code implementations • 22 May 2020 • Mohammad Rami Koujan, Nikolai Dochev, Anastasios Roussos
4D face reconstruction from a single camera is a challenging task, especially when it is required to be performed in real time.
1 code implementation • 22 May 2020 • Mohammad Rami Koujan, Michail Christos Doukas, Anastasios Roussos, Stefanos Zafeiriou
In this paper, we propose a novel machine learning architecture for facial reenactment.
1 code implementation • CVPR 2020 • Mohammad Rami Koujan, Anastasios Roussos, Stefanos Zafeiriou
Dense 3D facial motion capture from only monocular in-the-wild pairs of RGB images is a highly challenging problem with numerous applications, ranging from facial expression recognition to facial reenactment.
1 code implementation • 12 May 2020 • Mohammad Rami Koujan, Luma Alharbawee, Giorgos Giannakakis, Nicolas Pugeault, Anastasios Roussos
Human emotions analysis has been the focus of many studies, especially in the field of Affective Computing, and is important for many applications, e. g. human-computer intelligent interaction, stress analysis, interactive games, animations, etc.
no code implementations • CVPR 2016 • Yuxiang Zhou, Epameinondas Antonakos, Joan Alabort-i-Medina, Anastasios Roussos, Stefanos Zafeiriou
In this paper, we show for the first time, to the best of our knowledge, that it is possible to construct SDMs by putting object shapes in dense correspondence.
no code implementations • CVPR 2016 • James Booth, Anastasios Roussos, Stefanos Zafeiriou, Allan Ponniah, David Dunaway
We present Large Scale Facial Model (LSFM) -- a 3D Morphable Model (3DMM) automatically constructed from 9, 663 distinct facial identities.
no code implementations • ICCV 2015 • Patrick Snape, Anastasios Roussos, Yannis Panagakis, Stefanos Zafeiriou
In this paper, we propose a method for the robust and efficient computation of multi-frame optical flow in an expressive sequence of facial images.
no code implementations • CVPR 2013 • Ravi Garg, Anastasios Roussos, Lourdes Agapito
This paper offers the first variational approach to the problem of dense 3D reconstruction of non-rigid surfaces from a monocular video sequence.