Search Results for author: Mingyang Xie

Found 8 papers, 2 papers with code

TimeRewind: Rewinding Time with Image-and-Events Video Diffusion

no code implementations20 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.

Snapshot High Dynamic Range Imaging with a Polarization Camera

no code implementations16 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.

MetaDIP: Accelerating Deep Image Prior with Meta Learning

no code implementations18 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.

Denoising Meta-Learning +1

TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence

no code implementations13 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.

PROVES: Establishing Image Provenance using Semantic Signatures

1 code implementation21 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.

Face Verification

CoIL: Coordinate-based Internal Learning for Imaging Inverse Problems

1 code implementation9 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.

Image Reconstruction

Joint Reconstruction and Calibration using Regularization by Denoising

no code implementations26 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.

Denoising Image Reconstruction

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