activity
20232026
most citedArc2Face: A Foundation Model for ID-Consistent Human Faces

6 citations · 7 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2026

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…

cs.CV2026

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.…

cs.CV2025

TeGA: Texture Space Gaussian Avatars for High-Resolution Dynamic Head Modeling

Gengyan Li, Paulo Gotardo, Timo Bolkart +5

Sparse volumetric reconstruction and rendering via 3D Gaussian splatting have recently enabled animatable 3D head avatars that are rendered under arbitrary viewpoints with impressi…

cs.CV2025

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…

cs.CV2025

Arc2Avatar: Generating Expressive 3D Avatars from a Single Image via ID Guidance

Dimitrios Gerogiannis, Foivos Paraperas Papantoniou, Rolandos Alexandros Potamias +2

Inspired by the effectiveness of 3D Gaussian Splatting (3DGS) in reconstructing detailed 3D scenes within multi-view setups and the emergence of large 2D human foundation models, w…

cs.CV2025

Synthetic Prior for Few-Shot Drivable Head Avatar Inversion

Wojciech Zielonka, Stephan J. Garbin, Alexandros Lattas +5

We present SynShot, a novel method for the few-shot inversion of a drivable head avatar based on a synthetic prior. We tackle three major challenges. First, training a controllable…