Liying Lu

I am a PhD student at the Image and Visual Representation Lab at the École Polytechnique Fédérale de Lausanne (EPFL), where I focus on computer vision and computational photography. I am fortunate to be advised by Prof. Sabine Süsstrunk, and I am also working with Dr. Raphaël Achddou.

Prior to my PhD, I completed my Master's degree at the Deep Vision Lab at The Chinese University of Hong Kong (CUHK), where I worked with Prof. Jiaya Jia. Before that, I earned my Bachelor's degree from Huazhong University of Science and Technology (HUST).

Email  /  GitHub  /  Google Scholar  /  LinkedIn

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Research

I'm interested in computer vision and computational photography.

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Dark Noise Diffusion: Noise Synthesis for Low-Light Image Denoising


Liying Lu, Raphaël Achddou, Sabine Süsstrunk
ICCP / TPAMI, 2025
arxiv / code /

We generate realistic low-light noise images through a specially designed diffusion model. We analyze the characteristics of the generated noise, and show the denoising results trained with our synthetic data.
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Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery


Zhengrui Chen, Liying Lu, Ziyang Yuan, Yiming Zhu, Yu Li, Chun Yuan, Weihong Deng
AAAI, 2024
arxiv /

Combines structure-accurate 3D priors and texture-rich 2D priors in pretrained generative networks for blind face restoration under extreme conditions
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Audio-Driven 3D Facial Animation from In-the-Wild Videos


Liying Lu, Tianke Zhang, Yunfei Liu, Xuangeng Chu, Yu Li
Arxiv Preprint, 2023
arxiv /

We leverage in-the-wild 2D talking-head videos to train a 3D facial animation model.
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Best-Buddy GANs for Highly Detailed Image Super-Resolution


Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Nianjuan Jiang, Jiangbo Lu
AAAI, 2022
arxiv / code /

By relaxing the immutable one-to-one constraint of the single image super-resolution task, we allow the estimated patches to dynamically seek the best supervision during training.
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Video Frame Interpolation with Transformer


Liying Lu, Ruizheng Wu, Huaijia Lin, Jiangbo Lu, Jiaya Jia
CVPR, 2022
arxiv / code /

This paper addresses the task of video frame interpolation, leveraging Transformers to model long-range pixel correlations across video frames.
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Revisiting Temporal Alignment for Video Restoration


Kun Zhou, Wenbo Li, Liying Lu, Xiaoguang Han, Jiangbo Lu
CVPR, 2022
arxiv / code /

We present a generic iterative alignment module which employs a gradual refinement scheme for sub-alignments of video restoration.
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MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution


Liying Lu, Wenbo Li, Xin Tao, Jiangbo Lu, Jiaya Jia
CVPR, 2021
arxiv / code /

An approach for recovering high-frequency details in low-quality images by utilizing external reference images. We accelerate the correspondence matching process and introduce an improved feature adaptation method.



Projects

Here are some research projects I’ve worked on.

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MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report


project MIPI 2022
2022-10
paper /

A multi-scale architecture used to complete the sparse depth map, with a knowledge distillation method employed to achieve high performance and fast speed.




Design and source code from Leonid Keselman and Jon Barron's website