works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.LG2026

Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes

Minh-Quan Le, Armand Comas, Alexandros Lattas +7

The paper proposes a self‑correcting framework called SC‑CMJP that couples image understanding and generation via cross‑modal attention in masked diffusion models, and introduces a…

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

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

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

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…

cs.CV2025

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…