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amanchadha / iSeeBetter

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
https://arxiv.org/abs/2006.11161
MIT License
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Issue in Reproducing the same result as mentioned in paper #35

Open TE-ShreenidhiRamachandran opened 3 years ago

TE-ShreenidhiRamachandran commented 3 years ago

I ran the command "python3 iSeeBetterTest.py" for evaluation and used netG_epoch_4_1.pth model. Used the foliage_test.txt,calendar_test.txt and city_test.txt as the input for images . I got the PSNR values25.16 , 21.66 , 25.69 respectively But the paper reports 26.57, 24.13, 28.34 respectively I also tried to calculate the PSNR values on all the images in all scenes of Vid. The PSNR I got for foliage ,calendar ,city ,walk is 24.65 , 22.01 , 26.09 , 29.04 respectively which still doesn't match the result reported by the paper Please may I know if I m missing something because of which i m not able to produce the same result

BLCKEAGLE4 commented 3 years ago

Did you have any other problems with testing because I'm getting negative PSNR value? I hope this helps you! https://github.com/alterzero/RBPN-PyTorch/issues/48

TE-ShreenidhiRamachandran commented 3 years ago

Did you have any other problems with testing because I'm getting negative PSNR value? Hi ,Thanks alot you for the help. No,I dint face any other issue

BLCKEAGLE4 commented 3 years ago

Also, try to use the foliage.txt file, not the foliage_test.txt and respectively for the calendar and city