2025
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.
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.
Tree-NeRV: A Tree-Structured Neural Representation for Efficient Non-Uniform Video Encoding
Jiancheng Zhao, Yifan Zhan, Qingtian Zhu, Mingze Ma, Muyao Niu, Zunian Wan, Xiang Ji, Yinqiang Zheng
ICCV 2025
We propose Tree-NeRV, a novel tree-structured feature representation for efficient and adaptive video encoding.
Tree-NeRV: A Tree-Structured Neural Representation for Efficient Non-Uniform Video Encoding
Jiancheng Zhao, Yifan Zhan, Qingtian Zhu, Mingze Ma, Muyao Niu, Zunian Wan, Xiang Ji, Yinqiang Zheng
ICCV 2025
We propose Tree-NeRV, a novel tree-structured feature representation for efficient and adaptive video encoding.
HaRP: High Dynamic Range Photosequencing
Xiang Ji, Xxx Xxx, Yinqiang Zheng
Ongoing 2025
We present a new task of HDR photosequencing.
HaRP: High Dynamic Range Photosequencing
Xiang Ji, Xxx Xxx, Yinqiang Zheng
Ongoing 2025
We present a new task of HDR photosequencing.
2024
RS-NeRF: Neural Radiance Fields from Rolling Shutter Images
Muyao Niu, Tong Chen, Yifan Zhan, Zhuoxiao Li, Xiang Ji, Yinqiang Zheng
ECCV 2024
We present RS NeRF, a method designed to synthesize normal images from novel views using input with RS distortions.
RS-NeRF: Neural Radiance Fields from Rolling Shutter Images
Muyao Niu, Tong Chen, Yifan Zhan, Zhuoxiao Li, Xiang Ji, Yinqiang Zheng
ECCV 2024
We present RS NeRF, a method designed to synthesize normal images from novel views using input with RS distortions.
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.
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.
2023
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.
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.
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.
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.
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.
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.
2022
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.
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.
2021
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.
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.