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CANDID: Correspondence AligNment for Deep-burst Image Denoising
With the advent of mobile phone photography and point-and-shoot cameras, deep-burst imaging is widely used for a number of photographic effects such as depth of field, super-resolution, motion deblurring, and image denoising.
Learning to Adapt Multi-View Stereo by Self-Supervision
We use model-agnostic meta-learning (MAML) to train base parameters which, in turn, are adapted for multi-view stereo on new domains through self-supervised training.
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