Video Frame Interpolation ML Frameworks

Deep learning models and implementations for synthesizing intermediate frames in videos to increase frame rates or slow motion effects. Does NOT include general video processing, super-resolution, or deblurring unless frame interpolation is the primary focus.

There are 9 video frame interpolation frameworks tracked. The highest-rated is LemurPwned/video-sampler at 49/100 with 25 stars.

Get all 9 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=video-frame-interpolation&limit=20"

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# Framework Score Tier
1 LemurPwned/video-sampler

Effective frame sampling for ML applications.

49
Emerging
2 avinashpaliwal/Super-SloMo

PyTorch implementation of Super SloMo by Jiang et al.

49
Emerging
3 tarun005/FLAVR

Code for FLAVR: A fast and efficient frame interpolation technique.

46
Emerging
4 sniklaus/sepconv-slomo

an implementation of Video Frame Interpolation via Adaptive Separable...

43
Emerging
5 sniklaus/revisiting-sepconv

an implementation of Revisiting Adaptive Convolutions for Video Frame...

42
Emerging
6 orbit253/Awesome-Space-Time-Video-Super-Resolution

A List of Recent Space-Time Video Super-Resolution methods

30
Emerging
7 AIVFI/Video-Frame-Interpolation-Rankings-and-Video-Deblurring-Rankings

ABME AdaFNIO AMT BiM-VFI BiT CBBD CDFI CtxSyn DBVI DC-BVFI DQBC DRVI DvP...

28
Experimental
8 kbarszczak/Frame_booster

The project uses AI techniques to generate new frames in the video.

21
Experimental
9 ViacheslavDanilov/video-sr-bokeh

A project designed to enhance video quality through Super-Resolution (SR)...

17
Experimental