Dilxat Muhtar

Looped Transformers can achieve tens of thousands of effective reasoning steps without performance collapse by learning to selectively retain and decay intermediate states.

Overcome the texture imbalance problem in remote sensing image super-resolution with a diffusion model that leverages a relative texture density map for spatial conditioning, loss modulation, and dynamic sampling.