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IceClear avatar

IceClear/SeedVR2

0
View on GitHub↗
iceclear.github.io/projects/seedvr2↗

SeedVR2

SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training

Features

  • Image Restoration - Restores videos in one step via adversarial post-training.

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  • Video Restoration - One-step video restoration via adversarial post-training.
    • 798 stars·26 forks·Apache-2.0·9 views

    Star history

    Star history chart for iceclear/seedvr2Star history chart for iceclear/seedvr2

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Frequently asked questions

    What does iceclear/seedvr2 do?

    SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training

    What are the main features of iceclear/seedvr2?

    The main features of iceclear/seedvr2 are: Image Restoration, Video Restoration.

    Which projects share features with iceclear/seedvr2?

    Projects with overlapping indexed features include: scott-yjyang/difftta — [CVPR 2024] Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal. microsoft/bringing-old-photos-back-to-life — This project is a deep learning image restoration tool designed to remove scratches, fading, and noise from aged… algolzw/daclip-uir — Project Page | Paper | Model Card 🤗. auroral703/pertouch — [AAAI 2026] PerTouch: VLM-Driven Agent for Personalized and Semantic Image Retouching. bahjat-kawar/ddrm — arXiv | PDF | Project Website. algolzw/image-restoration-sde — Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön Department of Information Technology,…

    Projects sharing features with SeedVR2

    These projects share indexed features with SeedVR2. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • scott-yjyang/diffttascott-yjyang avatar

      scott-yjyang/DiffTTA

      20View on GitHub↗

      CVPR 2024 Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal

      View on GitHub↗20
    • microsoft/bringing-old-photos-back-to-lifemicrosoft avatar

      microsoft/Bringing-Old-Photos-Back-to-Life

      15,691View on GitHub↗

      This project is a deep learning image restoration tool designed to remove scratches, fading, and noise from aged photographs and film. It utilizes generative adversarial networks for image translation, alongside specialized networks for face enhancement and video colorization. The system distinguishes itself through a combination of latent-space domain mapping and progressive face enhancement to recover blurred or missing high-frequency facial details. For video content, it employs a colorization framework that uses optical flow and temporal guidance to propagate color from selected keyframes

      Pythongansgenerative-adversarial-networkimage-manipulation
      View on GitHub↗15,691
    • algolzw/daclip-uirAlgolzw avatar

      Algolzw/daclip-uir

      814View on GitHub↗

      Project Page | Paper | Model Card 🤗

      Python
      View on GitHub↗814
    • algolzw/image-restoration-sdeAlgolzw avatar

      Algolzw/image-restoration-sde

      718View on GitHub↗

      Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön Department of Information Technology, Uppsala University

      Python
      View on GitHub↗718
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