image-super-resolution

OracleZoom improves recursive image super-resolution by combining on-policy self-distillation with reference constraints and cross-scale supervision to reduce hallucinations, achieving state-of-the-art results across multiple datasets.

This paper proposes an adversarial Sobolev alignment method for faithful image super resolution, aiming to reduce artifacts and improve fidelity.