3 papers
eess.IV2025
Time-Embedded Algorithm Unrolling for Computational MRI
Junno Yun, Yaşar Utku Alçalar, Mehmet Akçakaya
Algorithm unrolling methods have proven powerful for solving the regularized least squares problem in computational magnetic resonance imaging (MRI). These approaches unfold an ite…
cs.CV2025
No Alignment Needed for Generation: Learning Linearly Separable Representations in Diffusion Models
Junno Yun, Yaşar Utku Alçalar, Mehmet Akçakaya
Efficient training strategies for large-scale diffusion models have recently emphasized the importance of improving discriminative feature representations in these models. A centra…
eess.AS2025
FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow Matching
Jun-Hak Yun, Seung-Bin Kim, Seong-Whan Lee
Audio super-resolution is challenging owing to its ill-posed nature. Recently, the application of diffusion models in audio super-resolution has shown promising results in alleviat…