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)
An attempt at a PyTorch implimentation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation"
Generate slow-motion videos by interpolating more frames
Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"
A state-of-the-art Video Frame Interpolation Method using feature flows blending. (CVPR 2020)
Pure Tensorflow Implementation of Super Slomo (https://arxiv.org/abs/1712.00080)
Tensorflow 2 implementation of Super SloMo paper
Official PyTorch implementation of "Deep Slow Motion Video Reconstruction with Hybrid Imaging System" (TPAMI)
A fork of the SuperSloMo repository, modified in various ways to experiment with the capabilitiets of the nural net.
Absolutely Eliminate Anime Stutters By SpatiotemporalResampling
Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)
🎵 Generate 8d + slow + reverb version of any song using python
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