Xiang Ji 纪祥
Portrait

I am a postdoc researcher in Next Generation Artificial Intelligence Research Center at Graduate School of Information Science and Technology (IST), The University of Tokyo , supervised by Professor Yinqiang Zheng.

My research interests include computational imaging and generative AI.

Email: ji-xiang [at] ynl.t.u-tokyo.ac.jp

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Selected Publications
Moment-Reenacting: Inverse Motion Degradation with Cross-shutter Guidance
Moment-Reenacting: Inverse Motion Degradation with Cross-shutter Guidance

Xiang Ji, Guixu Lin, Zhengwei Yin, Jiancheng Zhao, Yinqiang Zheng

In submission 2025

In this paper, we propose a unified framework to invert motion degradation and reenact imaging moment by jointly leveraging the complementary characteristics of GS blur and RS distortion.

[Project page] [Paper] [Code] [Data]

Moment-Reenacting: Inverse Motion Degradation with Cross-shutter Guidance

Xiang Ji, Guixu Lin, Zhengwei Yin, Jiancheng Zhao, Yinqiang Zheng

In submission 2025

In this paper, we propose a unified framework to invert motion degradation and reenact imaging moment by jointly leveraging the complementary characteristics of GS blur and RS distortion.

[Project page] [Paper] [Code] [Data]

HaRP: High Dynamic Range Photosequencing
HaRP: High Dynamic Range Photosequencing

Xiang Ji, Xxx Xxx, Yinqiang Zheng

Ongoing 2025

We present a new task of HDR photosequencing.

[Project page] [Paper] [Code] [Data]

HaRP: High Dynamic Range Photosequencing

Xiang Ji, Xxx Xxx, Yinqiang Zheng

Ongoing 2025

We present a new task of HDR photosequencing.

[Project page] [Paper] [Code] [Data]

Motion Blur Decomposition with Cross-shutter Guidance
Motion Blur Decomposition with Cross-shutter Guidance

Xiang Ji, Haiyang Jiang, Yinqiang Zheng

CVPR 2024

We proposed a novel cross-shutter setting for motion decomposition of a single blurry image, inspired by the complementary exposure characteristics of GS and RS cameras.

[Project page] [Paper] [Code] [Data]

Motion Blur Decomposition with Cross-shutter Guidance

Xiang Ji, Haiyang Jiang, Yinqiang Zheng

CVPR 2024

We proposed a novel cross-shutter setting for motion decomposition of a single blurry image, inspired by the complementary exposure characteristics of GS and RS cameras.

[Project page] [Paper] [Code] [Data]

Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation
Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation

Xiang Ji, Zhixiang Wang, Zhihang Zhong, Yinqiang Zheng

ICCV 2023

We highlighted the effects of shutter mode induced degradations on the VFI task and proposed a generic model to interpolate middle clear frames at arbitrary times.

[Paper] [Code] [Data] [Video]

Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation

Xiang Ji, Zhixiang Wang, Zhihang Zhong, Yinqiang Zheng

ICCV 2023

We highlighted the effects of shutter mode induced degradations on the VFI task and proposed a generic model to interpolate middle clear frames at arbitrary times.

[Paper] [Code] [Data] [Video]

Single Image Deblurring with Row-dependent Blur Magnitude
Single Image Deblurring with Row-dependent Blur Magnitude

Xiang Ji, Zhixiang Wang, Shin'ichi Satoh, Yinqiang Zheng

ICCV 2023

In this paper, we explore a novel in-between exposure mode, called global reset release (GRR) shutter, and propose a residual spatially-compensated and spectrally-enhanced Transformer (RSS-T) block for row-dependent deblurring of a single GRR image.

[Paper] [Code] [Data]

Single Image Deblurring with Row-dependent Blur Magnitude

Xiang Ji, Zhixiang Wang, Shin'ichi Satoh, Yinqiang Zheng

ICCV 2023

In this paper, we explore a novel in-between exposure mode, called global reset release (GRR) shutter, and propose a residual spatially-compensated and spectrally-enhanced Transformer (RSS-T) block for row-dependent deblurring of a single GRR image.

[Paper] [Code] [Data]

Blur Interpolation Transformer for Real-World Motion from Blur
Blur Interpolation Transformer for Real-World Motion from Blur

Zhihang Zhong, Mingdeng Cao, Xiang Ji, Yinqiang Zheng, Imari Sato

CVPR 2023

We propose a blur interpolation transformer (BiT) to effectively unravel the underlying temporal correlation encoded in blur.

[Project page] [Paper] [Code]

Blur Interpolation Transformer for Real-World Motion from Blur

Zhihang Zhong, Mingdeng Cao, Xiang Ji, Yinqiang Zheng, Imari Sato

CVPR 2023

We propose a blur interpolation transformer (BiT) to effectively unravel the underlying temporal correlation encoded in blur.

[Project page] [Paper] [Code]

Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global
Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global

Zhixiang Wang, Xiang Ji, Jia-Bin Huang, Shin'ichi Satoh, Xiao Zhou, Yinqiang Zheng

CVPR 2022

This paper first attempts to restore clean GS videos from the RS sensor with the widely ignored global reset feature.

[Project page] [Paper] [Code] [Video]

Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global

Zhixiang Wang, Xiang Ji, Jia-Bin Huang, Shin'ichi Satoh, Xiao Zhou, Yinqiang Zheng

CVPR 2022

This paper first attempts to restore clean GS videos from the RS sensor with the widely ignored global reset feature.

[Project page] [Paper] [Code] [Video]

Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion

Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang

ACL 2021 Oral

We present InferWiki, a Knowledge Graph Completion (KGC)dataset that improves upon existing benchmarks in inferential ability, assumptions, and patterns.

[Paper] [Code]

Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion

Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang

ACL 2021 Oral

We present InferWiki, a Knowledge Graph Completion (KGC)dataset that improves upon existing benchmarks in inferential ability, assumptions, and patterns.

[Paper] [Code]

All publications
Educations and Experiences
  • The University of Tokyo (UTokyo)
    The University of Tokyo (UTokyo)
    Tokyo, Japan
    Oct. 2024 - Present
    Postdoctoral Researcher, Research Assistant Professor, Graduate School of Information Science and Technology
  • National Institute of Informatics (NII)
    National Institute of Informatics (NII)
    Tokyo, Japan
    Nov. 2023 - Sep. 2024
    Research Assistant, Echizen Laboratory, Information and Society Research Division
  • The University of Tokyo (UTokyo)
    The University of Tokyo (UTokyo)
    Tokyo, Japan
    Oct. 2021 - Sep. 2024
    Ph.D Student, Graduate School of Information Science and Technology
    Advisor: Prof. Yinqiang Zheng
  • Nanyang Technological University (NTU)
    Nanyang Technological University (NTU)
    Singapore
    Oct. 2019 - May 2021
    Research Assistant (Full-time), School of Computer Science and Engineering
    Advisor: Prof. Hanwang Zhang
MISC
  • Reviewer
    ICCV, CVPR, ECCV, ICLR, ICML, NeurIPS, ACM MM, AAAI, ACM Computing Surveys, TIP, TPAMI
  • Volunteer
    ICCV 2023

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