From ee17951c69ec27ce8dfe38254f4b7fdbe08d4fba Mon Sep 17 00:00:00 2001 From: Tarun K Date: Tue, 7 May 2024 15:02:36 -0700 Subject: [PATCH] Update README.md --- README.md | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 1c0bc1b..66ee550 100644 --- a/README.md +++ b/README.md @@ -47,9 +47,9 @@ Training on GoPro dataset is similar, change `n_outputs` to 7 for 8x interpolati You can download the pretrained FLAVR models from the following links. Method | Trained Model | | ------------- |:-----| -| **2x** | [Link](https://drive.google.com/drive/folders/1M6ec7t59exOSlx_Wp6K9_njBlLH2IPBC?usp=sharing) | -| **4x** | [Link](https://drive.google.com/file/d/1btmNm4LkHVO9gjAaKKN9CXf5vP7h4hCy/view?usp=sharing) | -| **8x** | [Link](https://drive.google.com/drive/folders/1Gd2l69j7UC1Zua7StbUNcomAAhmE-xFb?usp=sharing) | +| **2x** | [Link](https://drive.google.com/file/d/1IZe-39ZuXy3OheGJC-fT3shZocGYuNdH/view?usp=sharing) | +| **4x** | [Link](https://drive.google.com/file/d/1GARJK0Ti1gLH_O0spxAEqzbMwUKqE37S/view?usp=sharing) | +| **8x** | [Link](https://drive.google.com/file/d/1xoZqWJdIOjSaE2DtH4ifXKlRwFySm5Gq/view?usp=sharing) | ### 2x Interpolation For testing a pretrained model on Vimeo-90K septuplet validation set, you can run the following command: @@ -79,15 +79,17 @@ You can use our trained models and apply the slomo filter on your own video (req python interpolate.py --input_video --factor 8 --load_model ``` -by using our [pretrained model](https://drive.google.com/drive/folders/1Gd2l69j7UC1Zua7StbUNcomAAhmE-xFb?usp=sharing) for 8x interpolation. For converting a 30FPS video to 60FPS video, use a 2x model with `factor` 2. +by using our [pretrained model](https://drive.google.com/file/d/1xoZqWJdIOjSaE2DtH4ifXKlRwFySm5Gq/view?usp=sharing) for 8x interpolation. For converting a 30FPS video to 60FPS video, use a 2x model with `factor` 2. ## Baseline Models We also train models for many other previous works on our setting, and provide models for all these methods. Complete benchmarking scripts will also be released soon. +**New [April 2024]**: Due to a shocking reduction of google drive allowance by Google to UCSD, I lost access to pre-trained models from other methods listed below. I hope to re-train them and publish new links in the future but don't count on it. Sorry! + Method | PSNR on Vimeo | Trained Model | | ------------- |:-------------:| -----:| -| FLAVR | 36.3 | [Model](https://drive.google.com/drive/folders/1M6ec7t59exOSlx_Wp6K9_njBlLH2IPBC?usp=sharing) +| FLAVR | 36.3 | [Model](https://drive.google.com/file/d/1IZe-39ZuXy3OheGJC-fT3shZocGYuNdH/view?usp=sharing) | AdaCoF | 35.3 | [Model](https://drive.google.com/file/d/19Y2TDZkSbRgNu-OItvqk3qn5cBWGg1RT/view?usp=sharing) | | QVI* | 35.15 | [Model](https://drive.google.com/file/d/1v2u5diGcvdTLhck8Xwu0baI4zm0JBJhI/view?usp=sharing) | | DAIN | 34.19 | [Model](https://drive.google.com/file/d/1RfrwrHoSX_3RIdsoQgPg9IfGAJRhOoEp/view?usp=sharing) | @@ -112,10 +114,10 @@ The code is heavily borrowed from Facebook's official [PyTorch video repository] If this code helps in your work, please consider citing us. ``` text -@article{kalluri2021flavr, +@article{kalluri2023flavr, title={FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation}, author={Kalluri, Tarun and Pathak, Deepak and Chandraker, Manmohan and Tran, Du}, - booktitle={arxiv}, - year={2021} + booktitle={WACV}, + year={2023} } ```