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CVPR 2022, Oral
An encoder-decoder Transformer for multi-scale local-global representation learning. Restormer is computationally efficient to handle high-resolution images.

CVPR 2022, Oral, Best Paper Finalist
we develop a novel approach by solely focusing on the effective information exchange between burst frames, such that the degradations get filtered out while the actual scene details are preserved and enhanced.

CVPR 2021
A multi-stage architecture that progressively learns restoration functions for the degraded inputs, thereby breaking down the overall recovery process into more manageable steps.

ECCV 2020
A novel feature extraction model that obtains a complementary set of features across multiple spatial scales, while maintaining the original high-resolution features to preserve precise spatial details.

CVPR 2020, Oral
It is a framework that models camera imaging pipeline in forward and reverse directions and allows us to produce any number of realistic image pairs for denoising both in RAW and sRGB spaces.