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 10 video frame interpolation frameworks tracked. The highest-rated is avinashpaliwal/Super-SloMo at 49/100 with 3,030 stars.

Get all 10 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 avinashpaliwal/Super-SloMo

PyTorch implementation of Super SloMo by Jiang et al.

49
Emerging
2 LemurPwned/video-sampler

Effective frame sampling for ML applications.

47
Emerging
3 tarun005/FLAVR

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

39
Emerging
4 sniklaus/sepconv-slomo

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

36
Emerging
5 sniklaus/revisiting-sepconv

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

35
Emerging
6 EutropicAI/ccvfi

an inference lib for video frame interpolation with VapourSynth support

27
Experimental
7 orbit253/Awesome-Space-Time-Video-Super-Resolution

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

23
Experimental
8 kbarszczak/Frame_booster

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

22
Experimental
9 AIVFI/Video-Frame-Interpolation-Rankings-and-Video-Deblurring-Rankings

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

21
Experimental
10 ViacheslavDanilov/video-sr-bokeh

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

19
Experimental