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Shape reconstruction with an optical diffuser has some significant advantages such as high-precision depth estimation with a small lens, depth estimation ...
A shape reconstruction algorithm for optical tomography is introduced that uses a level-set formulation for the shapes. Evolution laws based on gradient ...
Jun 2, 2023 · This paper presents PolyDiffuse, a novel structured reconstruction algorithm that transforms visual sensor data into polygonal shapes with Diffusion Models (DM ...
Missing: optical | Show results with:optical
In this paper we present a shape based reconstruction method for Diffuse Optical tomography (DOT). DOT [1], seeks the recovery of absorption and scattering ...
Mar 19, 2024 · We introduce a diffusion-driven self-supervised network for multi-object shape reconstruction and categorical pose estimation, only leveraging the shape priors.
Feb 15, 2006 · A shape reconstruction algorithm for optical tomography is introduced that uses a level-set formulation for the shapes.
We propose SparseFusion, a sparse view 3D reconstruction approach that unifies recent advances in neural rendering and probabilistic image generation.
Missing: optical | Show results with:optical
This paper presents PolyDiffuse, a novel structured reconstruction algorithm that transforms visual sensor data into polygonal shapes with Diffusion Models ...
Missing: optical | Show results with:optical
Aug 29, 2024 · This review seeks to explain, explore, and review the use of diffusion models for medical image reconstruction.
Missing: Shape optical
Numerical modelling and image reconstruction in diffuse optical ...
pmc.ncbi.nlm.nih.gov › PMC3268214
The aim of nonlinear image reconstruction is to calculate optical properties μ=(μ a,κ) at each point within the model using measurements of light fluence from ...