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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 Loading

  1. RVRT RVRT Public

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

    Python 359 35

  2. VRT VRT Public

    VRT: A Video Restoration Transformer (official repository)

    Python 1.4k 130

  3. SwinIR SwinIR Public

    SwinIR: Image Restoration Using Swin Transformer (official repository)

    Python 4.4k 545

  4. HCFlow HCFlow Public

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

    Python 188 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 168 23

  6. FKP FKP Public

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

    Python 148 21