Search Results for author:
Found 3 papers, 2 papers with code
Semantic Guided Large Scale Factor Remote Sensing Image Super-resolution with Generative Diffusion Prior
Moreover, pixel-level inconsistencies in paired remote sensing images, stemming from sensor-specific imaging characteristics, may hinder the convergence of the model and diversity in generated results.
Learning Many-to-Many Mapping for Unpaired Real-World Image Super-resolution and Downscaling
However, the training of image degradation and SR models in this strategy are separate, ignoring the inherent mutual dependency between downscaling and its inverse upscaling process.
Learned Image Downscaling for Upscaling using Content Adaptive Resampler
The proposed resampler network generates content adaptive image resampling kernels that are applied to the original HR input to generate pixels on the downscaled image.
Ranked #1 on
Image Super-Resolution
on DIV2K val - 2x upscaling
(using extra training data)
