81 citations · 231 across the 19 of their papers we have counts for
21 papers
Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes
Minh-Quan Le, Armand Comas, Alexandros Lattas +7
Human cognition does not separate understanding and generation. A teacher at a whiteboard speaks and draws , each modality reshapes the other. In this paper, we…
Archon: A Unified Multimodal Model for Holistic Digital Human Generation
Chong Bao, Shichen Liu, Lijun Yu +9
Digital humans are fundamental to immersive interaction, yet creating a unified model for holistic modalities, including text, audio, motion, and visual content, remains an open ch…
Physical Simulator In-the-Loop Video Generation
Lin Geng Foo, Mark He Huang, Alexandros Lattas +3
Recent advances in diffusion-based video generation have achieved remarkable visual realism but still struggle to obey basic physical laws such as gravity, inertia, and collision.…
Text To 3D Object Generation For Scalable Room Assembly
Sonia Laguna, Alberto Garcia-Garcia, Marie-Julie Rakotosaona +3
Modern machine learning models for scene understanding, such as depth estimation and object tracking, rely on large, high-quality datasets that mimic real-world deployment scenario…
SpinMeRound: Consistent Multi-View Identity Generation Using Diffusion Models
Stathis Galanakis, Alexandros Lattas, Stylianos Moschoglou +2
Despite recent progress in diffusion models, generating realistic head portraits from novel viewpoints remains a significant challenge. Most current approaches are constrained to l…
Improving face generation quality and prompt following with synthetic captions
Michail Tarasiou, Stylianos Moschoglou, Jiankang Deng +1
Recent advancements in text-to-image generation using diffusion models have significantly improved the quality of generated images and expanded the ability to depict a wide range o…
AnimateMe: 4D Facial Expressions via Diffusion Models
Dimitrios Gerogiannis, Foivos Paraperas Papantoniou, Rolandos Alexandros Potamias +4
The field of photorealistic 3D avatar reconstruction and generation has garnered significant attention in recent years; however, animating such avatars remains challenging. Recent…
Arc2Face: A Foundation Model for ID-Consistent Human Faces
Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou +3
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 unp…
FitDiff: Robust monocular 3D facial shape and reflectance estimation using Diffusion Models
Stathis Galanakis, Alexandros Lattas, Stylianos Moschoglou +1
The remarkable progress in 3D face reconstruction has resulted in high-detail and photorealistic facial representations. Recently, Diffusion Models have revolutionized the capabili…
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…
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…
3D human tongue reconstruction from single "in-the-wild" images
Stylianos Ploumpis, Stylianos Moschoglou, Vasileios Triantafyllou +1
3D face reconstruction from a single image is a task that has garnered increased interest in the Computer Vision community, especially due to its broad use in a number of applicati…
Deep Polynomial Neural Networks
Grigorios Chrysos, Stylianos Moschoglou, Giorgos Bouritsas +3
Deep Convolutional Neural Networks (DCNNs) are currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning. T…
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…
nets: Deep Polynomial Neural Networks
Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas +3
Deep Convolutional Neural Networks (DCNNs) is currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning. Th…
Towards a complete 3D morphable model of the human head
Stylianos Ploumpis, Evangelos Ververas, Eimear O' Sullivan +6
Three-dimensional Morphable Models (3DMMs) are powerful statistical tools for representing the 3D shapes and textures of an object class. Here we present the most complete 3DMM of…
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…
PolyGAN: High-Order Polynomial Generators
Grigorios Chrysos, Stylianos Moschoglou, Yannis Panagakis +1
Generative Adversarial Networks (GANs) have become the gold standard when it comes to learning generative models for high-dimensional distributions. Since their advent, numerous va…
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation
Stylianos Moschoglou, Stylianos Ploumpis, Mihalis Nicolaou +2
Over the past few years, Generative Adversarial Networks (GANs) have garnered increased interest among researchers in Computer Vision, with applications including, but not limited…
Multi-Attribute Robust Component Analysis for Facial UV Maps
Stylianos Moschoglou, Evangelos Ververas, Yannis Panagakis +2
Recently, due to the collection of large scale 3D face models, as well as the advent of deep learning, a significant progress has been made in the field of 3D face alignment "in-th…