4 papers
Image Fidelity is Not Field Fidelity: Joint Thermodynamic Reconstruction and Error Localization in Neural Tomography
Alan Hsu, Jenna Samra, Alin Razvan Paraschiv +1
Neural fields for scientific tomography are optimized from 2D images, but the actual quantity of interest is often a latent 3D physical field. Because the forward map is many-to-on…
POLISH'ing the Sky: Wide-Field and High-Dynamic Range Interferometric Image Reconstruction with Application to Strong Lens Discovery
Zihui Wu, Liam Connor, Samuel McCarty +1
Radio interferometry enables high-resolution imaging of astronomical radio sources by synthesizing a large effective aperture from an array of antennas and solving a deconvolution…
Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields
Brandon Zhao, Aviad Levis, Liam Connor +2
Weak gravitational lensing is the slight distortion of galaxy shapes caused primarily by the gravitational effects of dark matter in the universe. In our work, we seek to invert th…
Single View Refractive Index Tomography with Neural Fields
Brandon Zhao, Aviad Levis, Liam Connor +2
Refractive Index Tomography is the inverse problem of reconstructing the continuously-varying 3D refractive index in a scene using 2D projected image measurements. Although a purel…