71 citations · 204 across the 9 of their papers we have counts for
11 papers
FitMe: Deep Photorealistic 3D Morphable Model Avatars
Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis +3
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 avata…
Relightify: Relightable 3D Faces from a Single Image via Diffusion Models
Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou +1
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…
Physically-Based Face Rendering for NIR-VIS Face Recognition
Yunqi Miao, Alexandros Lattas, Jiankang Deng +2
Near infrared (NIR) to Visible (VIS) face matching is challenging due to the significant domain gaps as well as a lack of sufficient data for cross-modality model training. To over…
3DMM-RF: Convolutional Radiance Fields for 3D Face Modeling
Stathis Galanakis, Baris Gecer, Alexandros Lattas +1
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 dee…
Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression
Jia Guo, Jinke Yu, Alexandros Lattas +1
Even though 3D face reconstruction has achieved impressive progress, most orthogonal projection-based face reconstruction methods can not achieve accurate and consistent reconstruc…
Facial Geometric Detail Recovery via Implicit Representation
Xingyu Ren, Alexandros Lattas, Baris Gecer +4
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 thr…
AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs
Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis +3
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…
Sample and Computation Redistribution for Efficient Face Detection
Jia Guo, Jiankang Deng, Alexandros Lattas +1
Although tremendous strides have been made in uncontrolled face detection, efficient face detection with a low computation cost as well as high precision remains an open challenge.…
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"
Alexandros Lattas, Stylianos Moschoglou, Baris Gecer +4
Over the last years, with the advent of Generative Adversarial Networks (GANs), many face analysis tasks have accomplished astounding performance, with applications including, but…
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
Baris Gecer, Alexander Lattas, Stylianos Ploumpis +4
Generating realistic 3D faces is of high importance for computer graphics and computer vision applications. Generally, research on 3D face generation revolves around linear statist…
Synthesising 3D Facial Motion from "In-the-Wild" Speech
Panagiotis Tzirakis, Athanasios Papaioannou, Alexander Lattas +3
Synthesising 3D facial motion from speech is a crucial problem manifesting in a multitude of applications such as computer games and movies. Recently proposed methods tackle this p…