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Found 8 papers, 2 papers with code
FSID: Fully Synthetic Image Denoising via Procedural Scene Generation
To address this, we have developed a procedural synthetic data generation pipeline and dataset tailored to low-level vision tasks.
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.
Refining Geometry from Depth Sensors using IR Shading Images
To resolve the ambiguity in our model between the normals and distances, we utilize an initial 3D mesh from the Kinect fusion and multi-view information to reliably estimate surface details that were not captured and reconstructed by the Kinect fusion.
Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry
Near-Infrared (NIR) images of most materials exhibit less texture or albedo variations making them beneficial for vision tasks such as intrinsic image decomposition and structured light depth estimation.
Fine-scale Surface Normal Estimation using a Single NIR Image
We present surface normal estimation using a single near infrared (NIR) image.
High Quality Structure From Small Motion for Rolling Shutter Cameras
To address these problems, we introduce a novel 3D reconstruction method from narrow-baseline image sequences that effectively handles the effects of a rolling shutter that occur from most of commercial digital cameras.
Accurate Depth Map Estimation From a Lenslet Light Field Camera
This paper introduces an algorithm that accurately estimates depth maps using a lenslet light field camera.
Exploiting Shading Cues in Kinect IR Images for Geometry Refinement
To resolve ambiguity in our model between normals and distance, we utilize an initial 3D mesh from the Kinect fusion and multi-view information to reliably estimate surface details that were not reconstructed by the Kinect fusion.
