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Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions
To address these issues, we present Thermal-NeRF, which takes thermal and visible raw images as inputs, considering the thermal camera is robust to the illumination variation and raw images preserve any possible clues in the dark, to accomplish visible and thermal view synthesis simultaneously.
CapsFlow: Optical Flow Estimation with Capsule Networks
We present a framework to use recently introduced Capsule Networks for solving the problem of Optical Flow, one of the fundamental computer vision tasks.
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