DRNet uses initialization-stage dynamic reparameterization, a guided DRMLP, and a wavelet encoder to deliver efficient all-in-one image restoration across multiple tasks.
Pasta: Towards flexible and efficient hdr imaging via progressively aggregated spatio-temporal aligment
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FreeMEF is the first flexible-frame transformer for multi-exposure fusion using a recurrent state space module and global feature guided block to handle variable numbers of input exposures.
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DRNet: All-in-One Image Restoration via Prior-Guided Dynamic Reparameterization
DRNet uses initialization-stage dynamic reparameterization, a guided DRMLP, and a wavelet encoder to deliver efficient all-in-one image restoration across multiple tasks.
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There and Back Again: A Flexible-Frame Transformer for Multi-Exposure Fusion
FreeMEF is the first flexible-frame transformer for multi-exposure fusion using a recurrent state space module and global feature guided block to handle variable numbers of input exposures.