no code implementations • 11 Apr 2024 • Mingyang Xie, Haiyun Guo, Brandon Y. Feng, Lingbo Jin, Ashok Veeraraghavan, Christopher A. Metzler
Imaging through scattering media is a fundamental and pervasive challenge in fields ranging from medical diagnostics to astronomy.
no code implementations • 20 Mar 2024 • Jingxi Chen, Brandon Y. Feng, Haoming Cai, Mingyang Xie, Christopher Metzler, Cornelia Fermuller, Yiannis Aloimonos
Through extensive experimentation, we demonstrate the capability of our approach to synthesize high-quality videos that effectively ``rewind'' time, showcasing the potential of combining event camera technology with generative models.
no code implementations • 7 Dec 2023 • Haoming Cai, Jingxi Chen, Brandon Y. Feng, Weiyun Jiang, Mingyang Xie, Kevin Zhang, Ashok Veeraraghavan, Christopher Metzler
tmospheric turbulence presents a significant challenge in long-range imaging.
no code implementations • 16 Aug 2023 • Mingyang Xie, Matthew Chan, Christopher Metzler
By placing a linear polarizer in front of the polarization camera, we are able to simultaneously capture four images with varied exposures, which are determined by the orientation of the polarizer.
no code implementations • 18 Sep 2022 • Kevin Zhang, Mingyang Xie, Maharshi Gor, Yi-Ting Chen, Yvonne Zhou, Christopher A. Metzler
Deep image prior (DIP) is a recently proposed technique for solving imaging inverse problems by fitting the reconstructed images to the output of an untrained convolutional neural network.
no code implementations • 13 Mar 2022 • Brandon Yushan Feng, Mingyang Xie, Christopher A. Metzler
We present a self-supervised and self-calibrating multi-shot approach to imaging through atmospheric turbulence, called TurbuGAN.
1 code implementation • 21 Oct 2021 • Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik
Modern AI tools, such as generative adversarial networks, have transformed our ability to create and modify visual data with photorealistic results.
1 code implementation • 9 Feb 2021 • Yu Sun, Jiaming Liu, Mingyang Xie, Brendt Wohlberg, Ulugbek S. Kamilov
We propose Coordinate-based Internal Learning (CoIL) as a new deep-learning (DL) methodology for the continuous representation of measurements.
no code implementations • 26 Nov 2020 • Mingyang Xie, Yu Sun, Jiaming Liu, Brendt Wohlberg, Ulugbek S. Kamilov
Cal-RED extends the traditional RED methodology to imaging problems that require the calibration of the measurement operator.