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JingyunLiang/README.md

Jingyun Liang visitorsGitHub Followers

Email / Homepage / Google Scholar / Github

I am currently a PhD Student at Computer Vision Lab, ETH Zürich, Switzerland. I am co-supervised by Prof. Luc Van Gool and Prof. Radu Timofte. I also work closely with Dr. Kai Zhang. I mainly focus on low-level vision research, especially on image and video restoration, such as

  • image/video super-resolution (SR)
  • image/video deblurring
  • image/video denoising
  • ...

🚀 News

  • 2022-10-04: Our new paper RVRT, NeurlPS2022 achieves SOTA video restoration results with balanced size, memory and runtime.
  • 2022-08-30: See our papers on real-world image denoising (SCUNet) and video denoising (ReViD).
  • 2022-07-30: Three papers, including EFNet (event-based image deblurring, oral), DATSR (reference image SR) and DAVSR (video SR), accepted by ECCV2022.
  • 2022-01-28: Our new paper VRT outperforms previous Video SR/ deblurring/ denoising/ frame interpolation/ space-time video SR methods by up to 😍 2.16dB. 😍
  • 2021-10-20: SwinIR is awarded the best paper prize in ICCV-AIM2021.
  • 2021-08-01: Three papers (HCFlow, MANet and BSRGAN) accepted by ICCV2021.
  • 2021-03-29: One paper (FKP) accepted by CVPR2021.

🌱 Repositories

Topic Title Badge
real-world video denoising Practical Real Video Denoising with Realistic Degradation Model arXivGitHub Stars
event-based image deblurring Event-based Fusion for Motion Deblurring with Cross-modal Attention, ECCV2022 arXivGitHub Stars
reference image SR Reference-based Image Super-Resolution with Deformable Attention Transformer, ECCV2022 arXivGitHub Stars
interpretable video restoration Towards Interpretable Video Super-Resolution via Alternating Optimization, ECCV2022 arXivGitHub Stars
transformer-based video restoration Recurrent Video Restoration Transformer with Guided Deformable Attention arXivGitHub Starsdownload google colab logo
transformer-based video restoration VRT: A Video Restoration Transformer arXivGitHub Starsdownload google colab logo
transformer-based image restoration SwinIR: Image Restoration Using Swin Transformer arXivGitHub Starsdownload google colab logo
real-world image denoising Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis arXivGitHub Stars
real-world image SR Designing a Practical Degradation Model for Deep Blind Image Super-Resolution, ICCV2021 arXivGitHub Stars
blind image SR Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution, ICCV2021 arXivGitHub Starsdownload google colab logo
blind image SR Flow-based Kernel Prior with Application to Blind Super-Resolution, CVPR2021 arXivGitHub Stars
normalizing flow-based image SR and image rescaling Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling, ICCV2021 arXivGitHub Starsdownload google colab logo
image/ video restoration Image/ Video Restoration Toolbox GitHub StarsdownloadGitHub Forks

Pinned

  1. RVRT RVRT Public

    Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)

    Python 329 31

  2. VRT VRT Public

    VRT: A Video Restoration Transformer (official repository)

    Python 1.3k 123

  3. SwinIR SwinIR Public

    SwinIR: Image Restoration Using Swin Transformer (official repository)

    Python 4.1k 509

  4. HCFlow HCFlow Public

    Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

    Python 186 28

  5. MANet MANet Public

    Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

    Python 164 22

  6. FKP FKP Public

    Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)

    Python 145 22