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cs.CV2026
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…
cs.CV2026
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…
cs.CV2026
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…