Alexey Kirillov — accepted AI-conference papers

2025

Alchemist: Turning Public Text-to-Image Data into Generative Gold

Valerii Startsev, Alexander Ustyuzhanin, Alexey Kirillov, Dmitry Baranchuk, Sergey Kastryulin

NeurIPS 2025poster

Pre-training equips text-to-image (T2I) models with broad world knowledge, but this alone is often insufficient to achieve high aesthetic quality and alignment. Consequently, supervised fine-tuning (SFT) is crucial for further refinement. However, its effectiveness highly depends on the quality of…

Cited by 0 Source ↗Scholar ↗

2025

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models

Khaled Abud, Sergey Lavrushkin, Alexey Kirillov, Dmitriy Vatolin

ICCV 2025poster

Diffusion-based models have recently revolutionized image generation, achieving unprecedented levels of fidelity. However, consistent generation of high-quality images remains challenging partly due to the lack of conditioning mechanisms for perceptual quality. In this work, we propose methods to in…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗