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Found 5 papers, 1 papers with code
NLOS-NeuS: Non-line-of-sight Neural Implicit Surface
We propose NLOS neural implicit surface (NLOS-NeuS), which extends the NeTF to neural implicit surfaces with a signed distance function (SDF) for reconstructing three-dimensional surfaces in NLOS scenes.
Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance
Our method takes a plane sweep volume as input for the constraint between scene depth, defocus images, and camera settings, and this intermediate representation enables depth estimation with different camera settings at training and test times.
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient Estimation
We also propose a method of estimating scattering parameters, such as airlight, and a scattering coefficient, which are required for our dehazing cost volume.
Defogging Kinect: Simultaneous Estimation of Object Region and Depth in Foggy Scenes
The scattering component is saturated, so it does not depend on the scene depth, and received signals bouncing off distant points are negligible due to light attenuation in the participating media, so the observation of such a point contains only a scattering component.
Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter
Images captured in participating media such as murky water, fog, or smoke are degraded by scattered light.
