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Found 8 papers, 4 papers with code
Consistent Direct Time-of-Flight Video Depth Super-Resolution
We believe the methods and dataset are beneficial to a broad community as dToF depth sensing is becoming mainstream on mobile devices.
Toward Practical Monocular Indoor Depth Estimation
The majority of prior monocular depth estimation methods without groundtruth depth guidance focus on driving scenarios.
Ranked #1 on
Monocular Depth Estimation
on VA (Virtual Apartment)
Deep End-to-End Time-of-Flight Imaging
We present an end-to-end image processing framework for time-of-flight (ToF) cameras.
Deep Video Deblurring for Hand-Held Cameras
We show that the features learned from this dataset extend to deblurring motion blur that arises due to camera shake in a wide range of videos, and compare the quality of results to a number of other baselines.
Deep Video Deblurring
We show that the features learned from this dataset extend to deblurring motion blur that arises due to camera shake in a wide range of videos, and compare the quality of results to a number of other baselines.
Material Classification Using Raw Time-Of-Flight Measurements
We propose a material classification method using raw time-of-flight (ToF) measurements.
Rolling Shutter Motion Deblurring
Although motion blur and rolling shutter deformations are closely coupled artifacts in images taken with CMOS image sensors, the two phenomena have so far mostly been treated separately, with deblurring algorithms being unable to handle rolling shutter wobble, and rolling shutter algorithms being incapable of dealing with motion blur.
Bayesian Depth-from-Defocus with Shading Constraints
We present a method that enhances the performance of depth-from-defocus (DFD) through the use of shading information.
