Google colab method for high resolution file (4k,...)
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Updated
Jan 24, 2024 - Jupyter Notebook
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,...)
Video Frame Interpolation Based on Deformable Kernel Region (IJCAI 2022)
Video Frame Interpolation using machine learning. Free and TRUE open source.
A minimal implementation of TimeLens along with custom data for my final project in Computational Photography 15-463 F21
[CVPR 2024 Highlight] Boosting Neural Representations for Videos with a Conditional Decoder
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
[BMVC 2023 Oral] Boost Video Frame Interpolation via Motion Adaptation
this app can convert any video frames to 60FPS using ffmpeg motion-interpolation technology.
My own GAN implementation (WGAN-GP with Pytorch)
A Super SloMo TF2 implementation
Depth-Aware Video Frame Interpolation (CVPR 2019)
Video frame interpolation using RIFE
GMFlow based video frame interpolation
A curated list of resources for Low-level Vision Tasks
Clearer anytime frame interpolation & Manipulated interpolation of anything
Implementation of "Quadratic video interpolation", NeurIPS 2019.
An end-to-end video restoration project with open-source pretrained deep learning models