Search Results for author: Alexandros Lattas

Found 10 papers, 6 papers with code

FitMe: Deep Photorealistic 3D Morphable Model Avatars

no code implementations CVPR 2023 Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Baris Gecer, Jiankang Deng, Stefanos Zafeiriou

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.

Relightify: Relightable 3D Faces from a Single Image via Diffusion Models

no code implementations10 May 2023 Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Stefanos Zafeiriou

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 on a conditioning input.

Denoising Image Generation

Physically-Based Face Rendering for NIR-VIS Face Recognition

1 code implementation11 Nov 2022 Yunqi Miao, Alexandros Lattas, Jiankang Deng, Jungong Han, Stefanos Zafeiriou

Specifically, we reconstruct 3D face shape and reflectance from a large 2D facial dataset and introduce a novel method of transforming the VIS reflectance to NIR reflectance.

Face Recognition Image Generation

3DMM-RF: Convolutional Radiance Fields for 3D Face Modeling

no code implementations15 Sep 2022 Stathis Galanakis, Baris Gecer, Alexandros Lattas, Stefanos Zafeiriou

In this work, we present a facial 3D Morphable Model, which exploits both of the above, and can accurately model a subject's identity, pose and expression and render it in arbitrary illumination.

3D Face Modelling Novel View Synthesis

Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression

2 code implementations15 Aug 2022 Jia Guo, Jinke Yu, Alexandros Lattas, Jiankang Deng

Even though 3D face reconstruction has achieved impressive progress, most orthogonal projection-based face reconstruction methods can not achieve accurate and consistent reconstruction results when the face is very close to the camera due to the distortion under the perspective projection.

3D Face Reconstruction regression

Facial Geometric Detail Recovery via Implicit Representation

1 code implementation18 Mar 2022 Xingyu Ren, Alexandros Lattas, Baris Gecer, Jiankang Deng, Chao Ma, Xiaokang Yang, Stefanos Zafeiriou

Learning a dense 3D model with fine-scale details from a single facial image is highly challenging and ill-posed.

AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs

1 code implementation11 Dec 2021 Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Baris Gecer, Abhijeet Ghosh, Stefanos Zafeiriou

Nevertheless, to the best of our knowledge, there is no method which can produce render-ready high-resolution 3D faces from "in-the-wild" images and this can be attributed to the: (a) scarcity of available data for training, and (b) lack of robust methodologies that can successfully be applied on very high-resolution data.

3D Face Reconstruction Face Generation

Variational Prototype Learning for Deep Face Recognition

no code implementations CVPR 2021 Jiankang Deng, Jia Guo, Jing Yang, Alexandros Lattas, Stefanos Zafeiriou

Deep face recognition has achieved remarkable improvements due to the introduction of margin-based softmax loss, in which the prototype stored in the last linear layer represents the center of each class.

Face Recognition

Sample and Computation Redistribution for Efficient Face Detection

3 code implementations ICLR 2022 Jia Guo, Jiankang Deng, Alexandros Lattas, Stefanos Zafeiriou

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.

Face Detection

AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"

1 code implementation CVPR 2020 Alexandros Lattas, Stylianos Moschoglou, Baris Gecer, Stylianos Ploumpis, Vasileios Triantafyllou, Abhijeet Ghosh, Stefanos Zafeiriou

Over the last years, with the advent of Generative Adversarial Networks (GANs), many face analysis tasks have accomplished astounding performance, with applications including, but not limited to, face generation and 3D face reconstruction from a single "in-the-wild" image.

3D Face Reconstruction Face Generation

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