PyTorch implementation of Super SloMo by Jiang et al.
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Updated
Mar 9, 2023 - Python
PyTorch implementation of Super SloMo by Jiang et al.
Make motion interpolated and fluid slow motion videos from the command line.
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation (CVPR 2022)
A state-of-the-art Video Frame Interpolation Method using feature flows blending. (CVPR 2020)
Generate slow-motion videos by interpolating more frames
Official PyTorch implementation of "Deep Slow Motion Video Reconstruction with Hybrid Imaging System" (TPAMI)
An attempt at a PyTorch implimentation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation"
Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"
Tensorflow 2 implementation of Super SloMo paper
Pure Tensorflow Implementation of Super Slomo (https://arxiv.org/abs/1712.00080)
Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)
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A fork of the SuperSloMo repository, modified in various ways to experiment with the capabilitiets of the nural net.
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