Работы, цитирующие эту работу

Работ: 3

Работа: Deeply-Recursive Convolutional Network for Image Super-Resolution

1. Lightweight Super-Resolution Techniques in Medical Imaging: Bridging Quality and Computational Efficiency

   Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Zaripova Dilnoza +4

   СтатьяAdvanced Image Processing TechniquesBioengineering2024Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.090701

2. Permutation Invariance and Uncertainty in Multitemporal Image Super-Resolution

   Diego Valsesia, Enrico Magli

   ПрепринтAdvanced Image Processing TechniquesIEEE Transactions on Geoscience and Remote Sensing2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000103

3. Adaptive feature refinement for texture-preserving single image super-resolution

   Mukhiddin Toshpulatov, Furkat Safarov, Ugiloy Khojamuratova +3

   СтатьяAdvanced Image Processing TechniquesCluster Computing2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000290