ResQu integrates quaternion wavelet embeddings into latent diffusion models via a novel time-aware encoder to produce higher-quality super-resolved images than prior approaches.
An image is worth 16x16 words: Transformers for image recognition at scale
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A multi-stage planner sequences waypoints, predicts visibility-maximizing SAR flight segments with a DRL-trained neural network, and connects them via 3D Dubins curve optimization for multi-target surveillance.
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Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution
ResQu integrates quaternion wavelet embeddings into latent diffusion models via a novel time-aware encoder to produce higher-quality super-resolved images than prior approaches.
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Multi-stage Planning for Multi-target Surveillance using Aircrafts Equipped with Synthetic Aperture Radars Aware of Target Visibility
A multi-stage planner sequences waypoints, predicts visibility-maximizing SAR flight segments with a DRL-trained neural network, and connects them via 3D Dubins curve optimization for multi-target surveillance.