There are 18 repositories under frame-interpolation topic.
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
PyTorch implementation of Super SloMo by Jiang et al.
FILM: Frame Interpolation for Large Motion, In ECCV 2022.
A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision
Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT & Tencent's NCNN inference, beautifully crafted and packaged into a single app
The waifu2x & Other image-enlargers on Mac
The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"
A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
A Collection of Papers and Codes in ECCV2022 about low level vision
FluidFrames.RIFE | video AI frame-generation app
Official PyTorch implementation of "Deep Slow Motion Video Reconstruction with Hybrid Imaging System" (TPAMI)
Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"
A Collection of Low Level Vision Research Groups
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 MA-GCSPA NCM PRF ProBoost-Net RIFE RN-VFI SoftSplat SSR ST-MFNet TDPNet TTVFI UGFI UPR-Net UTI-VFI VFIformer VFIT VIDUE VRT
An end-to-end video restoration project with open-source pretrained deep learning models
[ECCV2022] Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
Tensorflow 2 implementation of Super SloMo paper
Frame interpolation
Official MegEngine Implementation of Real-Time Intermediate Flow Estimation for Video Frame Interpolation
In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use Lucas-Kanade algorithm, Multiscale Lucas-Kanade algorithm (with iterative tuning), and Discrete Horn-Schunk algorithm. We explore the interpolation performance on Spheres dataset and Corridor dataset.
CoreML+Metal implementation of "Video Frame Interpolation via Adaptive Separable Convolution"
Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)
Predictive Frame Interpolation (PIF) Model for video frame prediction and generation. An AI model that could infer a new frame between two existing sequential frames of a video We trained a GAN using youtube footage to predict it’s own existing frames
PyTorch Implementation of "Robust Temporal Super-Resolution for Dynamic Motion Video", ICCVW, AIM2019
A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)