3 papers
cs.CV2025
DINO-MX: A Modular & Flexible Framework for Self-Supervised Learning
Mahmut Selman Gokmen, Cody Bumgardner
Vision Foundation Models (VFMs) have advanced representation learning through self-supervised methods. However, existing training pipelines are often inflexible, domain-specific, o…
cs.CV2025
Poisson Flow Consistency Training
Anthony Zhang, Mahmut Gokmen, Dennis Hein +4
The Poisson Flow Consistency Model (PFCM) is a consistency-style model based on the robust Poisson Flow Generative Model++ (PFGM++) which has achieved success in unconditional imag…
eess.IV2024
Enhancing Low Dose Computed Tomography Images Using Consistency Training Techniques
Mahmut S. Gokmen, Jie Zhang, Ge Wang +2
Diffusion models have significant impact on wide range of generative tasks, especially on image inpainting and restoration. Although the improvements on aiming for decreasing numbe…