AIVFI/Video-Frame-Interpolation-Rankings-and-Video-Deblurring-Rankings
ABME AdaFNIO AMT BiM-VFI BiT CBBD CDFI CtxSyn DBVI DC-BVFI DQBC DRVI DvP EAFI EBME EDC EDEN EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR GIMM-VFI HFD HiFI H-VFI IFRNet InterpAny-Clearer IQ-VFI JNMR LADDER M2M MA-GCSPA MoMo PerVFI RIFE RN-VFI SepConv SoftSplat SSR ST-MFNet Swin-VFI TDPNet TLB-VFI TTVFI UGFI UPR-Net VFIformer VFIFT VFIMamba VFIT VRT XVFI
This project provides organized rankings of different algorithms and models designed to enhance video quality. It takes existing videos, potentially blurry or with missing frames, and outputs higher quality versions by deblurring or generating intermediate frames. These rankings are most useful for researchers and developers in computer vision who need to compare and select state-of-the-art methods for video processing tasks.
147 stars.
Use this if you are a computer vision researcher or developer looking for the most effective algorithms for video frame interpolation or deblurring, particularly for dynamic scenes.
Not ideal if you are a casual user looking for an out-of-the-box software application to enhance your personal videos without needing to understand the underlying models.
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147
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2
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Last pushed
Nov 07, 2025
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AIVFI/Video-Frame-Interpolation-Rankings-and-Video-Deblurring-Rankings"
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