Frame interpolation is used to increase the frame rate of a video, or to create a slow-motion video without lowering the frame rate.
Google colab method for high resolution file (4k,...)
Depth-Aware Video Frame Interpolation (CVPR 2019)
Video Frame Interpolation Based on Deformable Kernel Region (IJCAI 2022)
A minimal implementation of TimeLens along with custom data for my final project in Computational Photography 15-463 F21
this app can convert any video frames to 60FPS using ffmpeg motion-interpolation technology.
My own GAN implementation (WGAN-GP with Pytorch)
Video Frame Interpolation using machine learning. Free and TRUE open source.
A Super SloMo TF2 implementation
[BMVC 2023 Oral] Boost Video Frame Interpolation via Motion Adaptation
[CVPR 2024 Highlight] Boosting Neural Representations for Videos with a Conditional Decoder
Video frame interpolation using RIFE
GMFlow based video frame interpolation
Implementation of "Quadratic video interpolation", NeurIPS 2019.
A curated list of resources for Low-level Vision Tasks
An end-to-end video restoration project with open-source pretrained deep learning models
Rankings include: ABME AdaFNIO ALANET AMT BiT BVFI CDFI CtxSyn DBVI DeMFI DQBC DRVI EAFI EBME EDC EDENVFI EDSC EMA-VFI FGDCN FILM FLAVR H-VFI IFRNet JNMR LADDER M2M MA-GCSPA NCM PerVFI PRF ProBoost-Net RIFE RN-VFI SoftSplat SSR ST-MFNet TDPNet TTVFI UGFI UPR-Net UTI-VFI VFIformer VFIFT VFIT VIDUE VRT
CAIN, Channel Attention Is All You Need for Video Frame Interpolation implemented with ncnn library