3 citations · 3 across the 3 of their papers we have counts for
5 papers
FlowSGS: Improving Flow Priors for Inverse Imaging with Stochastic Interpolants
Tianao Li, Xinhui Qian, Emma Alexander
Flow matching has emerged as the state-of-the-art generative model and has been used for plug-and-play (PnP) priors to solve inverse problems in computational imaging. However, exi…
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…
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…
Coordinate-based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography
Tianao Li, Manxiu Cui, Cheng Ma +1
Photoacoustic computed tomography (PACT) is a non-invasive imaging modality, similar to ultrasound, with wide-ranging medical applications. Conventional PACT images are degraded by…
Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMM
Tianao Li, Emma Alexander
Removing optical and atmospheric blur from galaxy images significantly improves galaxy shape measurements for weak gravitational lensing and galaxy evolution studies. This ill-pose…