Refactor of this project planned

LoSealL / VideoSuperResolution

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

MIT License

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Refactor of this project planned #94

Open LoSealL opened 4 years ago

LoSealL commented 4 years ago

Refactor is planned. The objects are:

Support TF2.0
Unify calling of TF model and PyTorch model
Easier PIPY package to call from another project
Open access to pre-trained models
New models integrated from CVPR2019 and ICCV2019
More documents

Any kind of help is highly appreciated and welcome :)

mesw commented 4 years ago

Hi, I have utilized your project within a colab notebook. it is working very nicely, thank you very much for sharing your project. I would love to help. maybe I can pre-train some models or try to implement a new model? I would really like to try this one: TDAN https://arxiv.org/pdf/1812.02898.pdf but I don't know where to start...

LoSealL commented 4 years ago

Hi @mesw, I very much appreciate your help! First of all, you can start within VSRTorch, by simply writing tdan.py into VSRTorch/Models/; Then link your model by adding an entry into VSRTorch/Models/__init__.py;

Those README.md files could do a little help as well.

Easoncyx commented 4 years ago

Your work is amazing! Thank you so much. RLSP is also a better model than FRVSR in VSR. Could you consider include it in your framework? https://arxiv.org/abs/1909.08080

LoSealL commented 4 years ago

@Easoncyx Thanks, I will take a look

MeraMeskul commented 1 year ago

I am so much thrilled to see refactor of this repo ! Can't wait. So much thanks for presenting the VSR repo.