MODEST provides the first large-scale high-resolution stereo DSLR dataset with systematic variation of focal length and aperture to support research on real-world optical effects in depth estimation.
Restormer: Efficient transformer for high-resolution image restoration
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STGDNet uses synchronized spatial and temporal difference data from the Tianmouc sensor within a recurrent fusion architecture to deblur RGB frames more effectively than prior RGB-only or event-camera methods.
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MODEST: Multi-Optics Depth-of-Field Stereo Dataset
MODEST provides the first large-scale high-resolution stereo DSLR dataset with systematic variation of focal length and aperture to support research on real-world optical effects in depth estimation.
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Spatio-Temporal Difference Guided Motion Deblurring with the Complementary Vision Sensor
STGDNet uses synchronized spatial and temporal difference data from the Tianmouc sensor within a recurrent fusion architecture to deblur RGB frames more effectively than prior RGB-only or event-camera methods.