Processes YouTube videos into scenes
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Oct 28, 2017
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Frame Interpolation
Frame interpolation is used to increase the frame rate of a video, or to create a slow-motion video without lowering the frame rate.
Here are 58 public repositories matching this topic...
Implementation of the paper "Video Frame Interpolation by Plug-and-Play Deep Locally Temporal Embedding"
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Sep 28, 2018 - Python
PyTorch Implementation of "Robust Temporal Super-Resolution for Dynamic Motion Video", ICCVW, AIM2019
paper
pytorch
video-processing
optical-flow
pretrained-models
spynet
iccv
frame-interpolation
iccv2019
iccvw
iccvw2019
aim2019
temporal-super-resolution
reds-dataset
dhdn
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Sep 11, 2019 - Python
A fork of the SuperSloMo repository, modified in various ways to experiment with the capabilitiets of the nural net.
deep-learning
cnn
pytorch
convolutional-neural-networks
slow-motion
unet
frame-interpolation
pytorch-implementation
video-frame-interpolation
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Jan 3, 2020 - Python
An end-to-end video restoration project with open-source pretrained deep learning models
gans
super-resolution
colorization
color-correction
end-to-end-machine-learning
frame-interpolation
video-interpolation
video-restoration
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Apr 5, 2020 - Jupyter Notebook
Estimating frame[t] given frames frame[t-1] and frame[t+1]
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Jun 4, 2020 - Python
Official PyTorch implementation of "Deep Slow Motion Video Reconstruction with Hybrid Imaging System" (TPAMI)
deep-learning
pytorch
convolutional-neural-networks
slow-motion
super-resolution
frame-interpolation
video-super-resolution
pytorch-implementation
video-frame-interpolation
slomo
hybrid-imaging
deep-slomo
dual-cameras
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Jun 4, 2020 - Python
Motion Compensated Frame Interpolation using Deep ConvNets
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Jun 19, 2020 - Jupyter Notebook
Enhance the quality of your videos
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Jul 25, 2024 - Python
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
image-processing
generative-adversarial-network
convolutional-neural-networks
encoder-decoder-model
frame-interpolation
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Jul 13, 2020 - Python
Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"
computer-vision
deep-learning
pytorch
slow-motion
meta-learning
frame-interpolation
video-frame-interpolation
cvpr2020
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Aug 14, 2020 - Python
Video frame interpolation using the Vimeo-90k dataset.
statistics
computer-vision
pytorch
dataloader
optical-flow
ssim
unet
visualisations
psnr
frame-interpolation
discriminator-model
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Sep 14, 2020 - Python
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.
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Mar 6, 2021 - Python
In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use pre-trained FlowNet2 deep learning model and experiment by fine-tuning it. We explore the interpolation performance on Spheres dataset and Corridor dataset.
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Apr 5, 2021 - Python
A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
computer-vision
gan
image-manipulation
image-generation
super-resolution
image-denoising
image-deblurring
image-to-image-translation
image-enhancement
image-transfer
frame-interpolation
image-deraining
iccv2021
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Jan 8, 2022
SVPlite - Realtime-Optimized AviSynth+ Script-Templates for the SmoothVideo Project's SVPflow filters. Portable Low-Resource Motion Interpolation.
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Feb 19, 2022 - C#
Official MegEngine Implementation of Real-Time Intermediate Flow Estimation for Video Frame Interpolation
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Jul 14, 2022 - Python
HWFI: Hybrid Warping Fusion for Video Frame Interpolation. IJCV 2022
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Sep 7, 2022 - Python