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We introduce DRHDR, a Dual branch Residual Convolutional Neural Network forMulti-Bracket HDR Imaging. To address the challenges of fusing multiplebrackets from dynamic scenes, we propose an efficient dual branch network thatoperates on two different resolutions. The full resolution branch uses aDeformable Convolutional Block to align features and retain high-frequencydetails. A low resolution branch with a Spatial Attention Block aims to attendwanted areas from the non-reference brackets, and suppress displaced featuresthat could incur on ghosting artifacts. By using a dual branch approach we areable to achieve high quality results while constraining the computationalresources required to estimate the HDR results.

DRHDR: A Dual branch Residual Network for Multi-Bracket High Dynamic Range Imaging