Comments (8)
Hi @zuimeiyujianni
What is the FID score you are getting for babies dataset, I am also having the same problem in the evaluation
from few-shot-gan-adaptation.
I use the provided model in the README.md file to calculate the FID score.
from few-shot-gan-adaptation.
Hi @zuimeiyujianni What is the FID score you are getting for babies dataset, I am also having the same problem in the evaluation
In 'Self-Test', I calculate the FID score using 1000 generated images(using the pretrained model provided in README.md). FID score are 86.62, 51.02, 48.12. The result of my calculation is much worse than the paper. What is the FID score you are getting? 👀
from few-shot-gan-adaptation.
Hi @zuimeiyujianni What is the FID score you are getting for babies dataset, I am also having the same problem in the evaluation
Are you also using the pretrained model provided in README.md ?
from few-shot-gan-adaptation.
I have only trained babies dataset and got FID score as 81.95. According to my thought we should have actual evaluation setup for getting the desire number. @utkarshojha Can you please provide experimental setup for getting the desired output. I have trained the model for babies dataset from sketch taking ffhq as a source and not used the pretrained one given in the Readme.md
from few-shot-gan-adaptation.
I have only trained babies dataset and got FID score as 81.95. According to my thought we should have actual evaluation setup for getting the desire number. @utkarshojha Can you please provide experimental setup for getting the desired output. I have trained the model for babies dataset from sketch taking ffhq as a source and not used the pretrained one given in the Readme.md
I also want to calculate the LPIPS score. However, the link to the dataset is invalid. Do you have the dataset used to calculate lpips score? 😄 @utkarshojha Can you update the dataset link for evaluating intra-cluster distance? 😄
from few-shot-gan-adaptation.
I have only trained babies dataset and got FID score as 81.95. According to my thought we should have actual evaluation setup for getting the desire number. @utkarshojha Can you please provide experimental setup for getting the desired output. I have trained the model for babies dataset from sketch taking ffhq as a source and not used the pretrained one given in the Readme.md
@VIROBO-15 how many samples you used to calculate FID score? I used FFHQ->babies pretrained model from README.md and sampled 2492 images the same number of given real babies dataset.
I got FID score of 77.75.
I think the number of sampled image does matter.
from few-shot-gan-adaptation.
I have only trained babies dataset and got FID score as 81.95. According to my thought we should have actual evaluation setup for getting the desire number. @utkarshojha Can you please provide experimental setup for getting the desired output. I have trained the model for babies dataset from sketch taking ffhq as a source and not used the pretrained one given in the Readme.md
@VIROBO-15 how many samples you used to calculate FID score? I used FFHQ->babies pretrained model from README.md and sampled 2492 images the same number of given real babies dataset. I got FID score of 77.75. I think the number of sampled image does matter.
I use 1000 samples. The lpips indicator is calculated by 1000 images in paper. So I use the 1000 samples to calculate the FID.
from few-shot-gan-adaptation.
Related Issues (20)
- colab demo.
- generation target domain image for the given selfie image
- cannot access dataset in "Evaluating FID"
- Error on example code execution
- Error when using more than 2 GPUs HOT 1
- A Question about paper
- Results are bad after training with 'augment' command
- Something wrong in your code in 'Visualizing correspondence results' HOT 1
- Implementation of ewc HOT 2
- Evaluating intra-cluster distance HOT 5
- about ninja error HOT 4
- [Help] My generated images failed HOT 9
- Parameters files about other source domain?
- Training with other pretrained StyleGAN2 error HOT 2
- The link for download images and evaluating intra-cluster distance was invalid.
- How to train high-resolution models with limited GPU resources ?
- Some problem about train.py
- stuck at g_optim.step()
- FFHQ-babies and FFHQ-sunglasses datasets HOT 1
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