Official PyTorch implementation of paper MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling
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Updated
Jun 5, 2024
Frame interpolation is used to increase the frame rate of a video, or to create a slow-motion video without lowering the frame rate.
Official PyTorch implementation of paper MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling
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.
[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
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)
[BMVC 2023 Oral] Boost Video Frame Interpolation via Motion Adaptation
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.