2 citations · 3 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
Depth from Dual Differential Defocus and Stereo Consensus
Junjie Luo, Wei Xu, Dylan Chu +2
We introduce D^3S Consensus, a physics-based, closed-form algorithm that unifies depth-from-defocus (DfD) and stereo to achieve highly accurate depth estimation throughout an exten…
Computational Design of a Low-Visibility UAV Using a Human-Aligned Perceptual Metric
Jingxian Wang, Chen Yu, David Matthews +3
We introduce Phantom Twist, a type of single-propeller UAV designed to achieve low visibility through high-speed spinning and the exploitation of motion blur. We develop a two-stag…
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…