Jinjin Gu

Orcid: 0000-0002-4389-6236

According to our database¹, Jinjin Gu authored at least 56 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Evaluating the Generalization Ability of Super-Resolution Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Blind Image Super-Resolution: A Survey and Beyond.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Binarized 3D Whole-body Human Mesh Recovery.

[BibT_eX]

[DOI]

CoRR, 2023

Image Super-Resolution with Text Prompt Diffusion.

[BibT_eX]

[DOI]

CoRR, 2023

Networks are Slacking Off: Understanding Generalization Problem in Image Deraining.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchical Integration Diffusion Model for Realistic Image Deblurring.

[BibT_eX]

[DOI]

CoRR, 2023

Xformer: Hybrid X-Shaped Transformer for Image Denoising.

[BibT_eX]

[DOI]

CoRR, 2023

Recursive Generalization Transformer for Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2023

Networks are Slacking Off: Understanding Generalization Problem in Image Deraining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Integration Diffusion Model for Realistic Image Deblurring.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Accurate Image Restoration with Attention Retractable Transformer.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Snow Removal in Video: A New Dataset and A Novel Method.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dual Aggregation Transformer for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Supervised Intensity-Event Stereo Matching.

[BibT_eX]

[DOI]

Proceedings of the Imaging Sensors and Systems 2023, 2023

Masked Image Training for Generalizable Deep Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DegAE: A New Pretraining Paradigm for Low-Level Vision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mitigating Artifacts in Real-World Video Super-resolution Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

AI-enabled image fraud in scientific publications.

[BibT_eX]

[DOI]

Patterns, 2022

Near Real-time CO<sub>2</sub> Emissions Based on Carbon Satellite and Artificial Intelligence.

[BibT_eX]

[DOI]

CoRR, 2022

NTIRE 2022 Challenge on Perceptual Image Quality Assessment.

[BibT_eX]

[DOI]

CoRR, 2022

Rethinking Alignment in Video Super-Resolution Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cross Aggregation Transformer for Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computational Photography, 2022

Efficient Image Super-Resolution Using Vast-Receptive-Field Attention.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results.

[BibT_eX]

[DOI]

Pablo Navarrete Michelini

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Texture-based Error Analysis for Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Blueprint Separable Residual Network for Efficient Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Reflash Dropout in Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Challenge on Perceptual Image Quality Assessment.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Discovering "Semantics" in Super-Resolution Networks.

[BibT_eX]

[DOI]

CoRR, 2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment.

[BibT_eX]

[DOI]

Seyed Mehdi Ayyoubzadeh

CoRR, 2021

Attention in Attention Network for Image Super-Resolution.

[BibT_eX]

[DOI]

Haoyu Chen

Jinjin Gu

Zhi Zhang

CoRR, 2021

Interpreting Super-Resolution Networks With Local Attribution Maps.

[BibT_eX]

[DOI]

Jinjin Gu

Chao Dong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Super Resolution Perception for Smart Meter Data.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric.

[BibT_eX]

[DOI]

CoRR, 2020

PIPAL: A Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Interpreting the Latent Space of GANs for Semantic Face Editing.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Image Processing Using Multi-Code GAN Prior.

[BibT_eX]

[DOI]

Jinjin Gu

Yujun Shen

Bolei Zhou

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2019

Two-phase Hair Image Synthesis by Self-Enhancing Generative Model.

[BibT_eX]

[DOI]

CoRR, 2019

Two-phase Hair Image Synthesis by Self-Enhancing Generative Model.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2019

Blind Super-Resolution With Iterative Kernel Correction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Suppressing Model Overfitting for Image Super-Resolution Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results.

[BibT_eX]

[DOI]

Pablo Navarrete Michelini

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Super-Resolution Perception for Industrial Sensor Data.

[BibT_eX]

[DOI]

CoRR, 2018

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Single Image Reflection Removal Using Deep Encoder-Decoder Network.

[BibT_eX]

[DOI]

CoRR, 2018

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2014

Automatic kidney segmentation in CT images based on multi-atlas image registration.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Jinjin Gu

Timeline

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