Lingyan Ruan

lyruanruan [at] gmail [dot] com

About Me



I am a Postdoctoral Researcher at Max-Planck-Institut für Informatik, advised by Prof. Karol Myszkowski. I obtained my Ph.D. degree from School of Creative Media at City University of Hong Kong under the supervision of Prof. Miuling Lam. My research lies in the areas of computational photography, computational display, and machine learning. I am paricularly interested in exploring the potential of light field technology in a broad range of research topics, such as image deblurring, view synthesis and three dimensional display.



Selective Publications


LaKDNet: Revisiting Image Deblurring with an Efficient ConvNet

Lingyan Ruan, Mojtaba Bemana, Hans-peter Seidel, Karol Myszkowski, Bin Chen

arXiv preprint, 2023


Paper Code


Scalable pattern formation of skeletal myotubes by synergizing microtopographic cues and chiral nematics of cells

Siying Wu*, Lingyan Ruan*, Jianpeng Wu, Minghui Wu, Lok Ting Chu, Hoi Kwan Kwong, Miu Ling Lam, Ting-Hsuan Chen (*equal contribution)

Biofabrication 2023


Paper


Learning to Deblur using Light Field Generated and Real Defocus Images

Lingyan Ruan*, Bin Chen*, Jizhou Li, Miuling Lam (*equal contribution)

IEEE CVPR 2022 [Oral, Best Paper Finalist, Top 0.4%]


Paper Supp Project Code Web Demo


AIFNet: All-in-Focus Image Restoration Network Using a Light Field-Based Dataset

Lingyan Ruan, Bin Chen, Jizhou Li, Miuling Lam

IEEE Transactions on Computational Imaging, 2021


Paper Project Dataset Code Video


LFGAN: 4D Light Field Synthesis from a Single RGB Image

Bin Chen, Lingyan Ruan, Miuling Lam

ACM Transactions on Multimedia Computing, Communications and Applications, 2020


Paper Video


Light Field Display with Ellipsoidal Mirror Array and Single Projector

Bin Chen, Lingyan Ruan, Miuling Lam

Optics Express, 2019


Paper Project Supp Video


Human-Computer Interaction by Voluntary Vergence Control

Lingyan Ruan, Bin Chen, Miuling Lam

SIGGRAPH Asia Posters 2018


Paper Project


Light Field Synthesis from a Single Image using Improved Wasserstein Generative Adversarial Network.

Lingyan Ruan, Bin Chen, Miuling Lam

Eurographics Posters 2018


Paper