1 citations · 1 across the 6 of their papers we have counts for
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ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging
Tianao Li, Tjitske Starkenburg, Yu Sun +1
Variational inference (VI) is a powerful method for principled posterior inference for scientific inverse imaging. VI learns the posterior distribution, often with a flow-based net…
Thermal is Always Wild: Characterizing and Addressing Challenges in Thermal-Only Novel View Synthesis
M. Kerem Aydin, Vishwanath Saragadam, Emma Alexander
Thermal cameras provide reliable visibility in darkness and adverse conditions, but thermal imagery remains significantly harder to use for novel view synthesis (NVS) than visible-…
SpiderCam: Low-Power Snapshot Depth from Differential Defocus
Marcos A. Ferreira, Tianao Li, John Mamish +4
We introduce SpiderCam, an FPGA-based snapshot depth-from-defocus camera which produces 480x400 sparse depth maps in real-time at 32.5 FPS over a working range of 52 cm while consu…
Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack
M. Kerem Aydin, Yi-Chun Hung, Jaclyn Pytlarz +2
Hyperspectral cameras face harsh trade-offs between spatial, spectral, and temporal resolution in inherently low-photon conditions. Computational imaging systems break through thes…
Focal Split: Untethered Snapshot Depth from Differential Defocus
Junjie Luo, John Mamish, Alan Fu +4
We introduce Focal Split, a handheld, snapshot depth camera with fully onboard power and computing based on depth-from-differential-defocus (DfDD). Focal Split is passive, avoiding…
Depth from Coupled Optical Differentiation
Junjie Luo, Yuxuan Liu, Emma Alexander +1
We propose depth from coupled optical differentiation, a low-computation passive-lighting 3D sensing mechanism. It is based on our discovery that per-pixel object distance can be r…