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Found 19 papers, 2 papers with code
Polarized Optical-Flow Gyroscope
The other is the polarization compass, where axial rotation induces temporal readout changes due to the change of incoming polarization angle, relative to the camera frame.
Learned 3D volumetric recovery of clouds and its uncertainty for climate analysis
We demonstrate the approach in simulations and on real-world data, and indicate the relevance of 3D recovery and uncertainty to precipitation and renewable energy.
Complex-valued Retrievals From Noisy Images Using Diffusion Models
In this study, we generalize annealed Langevin Dynamics, a type of DDM, to tackle the fundamental challenges in optical imaging of complex-valued objects (and real images) affected by Poisson noise.
Accelerating Inverse Rendering By Using a GPU and Reuse of Light Paths
This is achieved by tailoring the iterative process of inverse rendering specifically to a GPU architecture.
What You Can Learn by Staring at a Blank Wall
We present a passive non-line-of-sight method that infers the number of people or activity of a person from the observation of a blank wall in an unknown room.
Advances in 3D scattering tomography of cloud micro-physics
We introduce new adjustments and advances in space-borne 3D volumetric scattering-tomography of cloud micro-physics.
3DeepCT: Learning Volumetric Scattering Tomography of Clouds
We present 3DeepCT, a deep neural network for computed tomography, which performs 3D reconstruction of scattering volumes from multi-view images.
4D Cloud Scattering Tomography
We derive computed tomography (CT) of a time-varying volumetric scattering object, using a small number of moving cameras.
3D Scattering Tomography by Deep Learning with Architecture Tailored to Cloud Fields
We present 3DeepCT, a deep neural network for computed tomography, which performs 3D reconstruction of scattering volumes from multi-view images.
Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms
If these rates are used, the paper leads to a representation of the time-varying object, which simplifies 4D CT tomography.
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size
Our motivation is 3D volumetric probing of vertically-developed convectively-driven clouds that are ill-served by current methods in operational passive remote sensing.
Image compression optimized for 3D reconstruction by utilizing deep neural networks
These joint models provide image compression tailored for the specific task of 3D reconstruction.
X-ray Computed Tomography Through Scatter
In current Xray CT scanners, tomographic reconstruction relies only on directly transmitted photons.
Statistical Tomography of Microscopic Life
This enables geometric self-calibration in imaging of transparent objects.
Multiple-Scattering Microphysics Tomography
Scattering effects in images, including those related to haze, fog and appearance of clouds, are fundamentally dictated by microphysical characteristics of the scatterers.
In-situ multi-scattering tomography
We formulate tomography that handles arbitrary orders of scattering, using a monte-carlo model.
The Next Best Underwater View
To image in high resolution large and occlusion-prone scenes, a camera must move above and around.
Airborne Three-Dimensional Cloud Tomography
We seek to sense the three dimensional (3D) volumetric distribution of scatterers in a heterogenous medium.
