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QUEAHREN/DemosaicFormer

0
View on GitHub↗
0 stars·0 forks·9 views

DemosaicFormer

Features

  • Video Synthesis and Interpolation - Coarse-to-fine demosaicing network for hybrid event-frame cameras.

Star history

Star history chart for queahren/demosaicformerStar history chart for queahren/demosaicformer

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.

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Frequently asked questions

What are the main features of queahren/demosaicformer?

The main features of queahren/demosaicformer are: Video Synthesis and Interpolation.

Which projects share features with queahren/demosaicformer?

Projects with overlapping indexed features include: lllyasviel/paints-undo — Paints-UNDO is an AI-driven system designed to reverse final digital images into simulated brush stroke sequences. It… ac-freeman/davis-edi-rs. ahupujr/efnet — Event-based Fusion for Motion Deblurring with Cross-modal Attention (ECCV'22 Oral) https://ahupujr.github.io/EFNet/. lisiqi19971013/superfast. panpanfei/bringing-a-blurry-frame-alive-at-high-frame-rate-with-an-event-camera — code, data and result. queahren/mat.

Projects sharing features with DemosaicFormer

These projects share indexed features with DemosaicFormer. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • lllyasviel/paints-undolllyasviel avatar

    lllyasviel/Paints-UNDO

    4,062View on GitHub↗

    Paints-UNDO is an AI-driven system designed to reverse final digital images into simulated brush stroke sequences. It functions as a digital art undo simulator and a drawing sequence reconstructor, predicting and visualizing previous states of a painting by reversing artistic operations. The project transforms static images into process videos by interpolating between reconstructed drawing states. It uses an image-to-video painting process generator to create smooth progression videos of artwork. The system covers digital art reconstruction and artistic process simulation, including the abil

    Python
    View on GitHub↗4,062
  • ahupujr/efnetAHupuJR avatar

    AHupuJR/EFNet

    198View on GitHub↗

    Event-based Fusion for Motion Deblurring with Cross-modal Attention (ECCV'22 Oral) https://ahupujr.github.io/EFNet/

    Python
    View on GitHub↗198
  • lisiqi19971013/superfastL

    lisiqi19971013/SuperFast

    0View on GitHub↗
    View on GitHub↗0
  • ac-freeman/davis-edi-rsA

    ac-freeman/davis-EDI-rs

    0View on GitHub↗
    View on GitHub↗0
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