Portrait de AmirHossein Zamani

AmirHossein Zamani

Doctorat - Concordia
Superviseur⋅e principal⋅e
Eugene Belilovsky
Co-supervisor
Blake Richards
Sujets de recherche
Apprentissage par renforcement
Apprentissage profond
Infographie 3D
Interaction humain-IA
Modèles génératifs
Robotique
Vision par ordinateur
Site web
Google Scholar
GitHub

Publications

Geometry-Aware Preference Learning for 3D Texture Generation
AmirHossein Zamani
Tianhao Xie
Amir Aghdam
Tiberiu Popa
Eugene Belilovsky
Recent advances in 3D generative models have achieved impressive results but 3D contents generated by these models may not align with subjec… (voir plus)tive human preferences or task-specific criteria. Moreover, a core challenge in the 3D texture generation domain remains: most existing approaches rely on repeated calls to 2D text-to-image generative models, which lack an inherent understanding of the 3D structure of the input 3D mesh object. To address this, we propose an end-to-end differentiable preference learning framework that back-propagates human preferences, represented by differentiable reward functions, through the entire 3D generative pipeline, making the process inherently geometry-aware. We demonstrate the effectiveness of our framework using four proposed novel geometry-aware reward functions, offering a more controllable and interpretable pathway for high-quality 3D content creation from natural language.
2025-06-10
ICML.cc/2025/Workshop/MoFA (poster)
openreview.net
openreview.net