4 citations · 5 across the 3 of their papers we have counts for
6 papers · 1 filter
Stellar: Systematic Evaluation of Human-Centric Personalized Text-to-Image Methods
Panos Achlioptas, Alexandros Benetatos, Iordanis Fostiropoulos +1
In this work, we systematically study the problem of personalized text-to-image generation, where the output image is expected to portray information about specific human subjects.…
Promptable Game Models: Text-Guided Game Simulation via Masked Diffusion Models
Willi Menapace, Aliaksandr Siarohin, Stéphane Lathuilière +4
Neural video game simulators emerged as powerful tools to generate and edit videos. Their idea is to represent games as the evolution of an environment's state driven by the action…
LADIS: Language Disentanglement for 3D Shape Editing
Ian Huang, Panos Achlioptas, Tianyi Zhang +3
Natural language interaction is a promising direction for democratizing 3D shape design. However, existing methods for text-driven 3D shape editing face challenges in producing dec…
Affection: Learning Affective Explanations for Real-World Visual Data
Panos Achlioptas, Maks Ovsjanikov, Leonidas Guibas +1
In this work, we explore the emotional reactions that real-world images tend to induce by using natural language as the medium to express the rationale behind an affective response…
ArtEmis: Affective Language for Visual Art
Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov +2
We present a novel large-scale dataset and accompanying machine learning models aimed at providing a detailed understanding of the interplay between visual content, its emotional e…
Composite Shape Modeling via Latent Space Factorization
Anastasia Dubrovina, Fei Xia, Panos Achlioptas +3
We present a novel neural network architecture, termed Decomposer-Composer, for semantic structure-aware 3D shape modeling. Our method utilizes an auto-encoder-based pipeline, and…