-
Notifications
You must be signed in to change notification settings - Fork 1k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Datasets #6
Comments
The selfie dataset appears to be this one: https://www.crcv.ucf.edu/data/Selfie/ Since the paper says they scraped anime-planet themselves to get the anime images, it seems like we'll have to yield to them for their dataset. Alternatively, there appears to be a dataset made available here that might work. http://www.nurs.or.jp/~nagadomi/animeface-character-dataset/ |
We are currently checking the license issue to make the dataset public. |
https://www.gwern.net/Danbooru2018 with some filters would be a great anime face dataset. |
Note that the nagadomi faces are also on Kaggle, and there's at least 2 anime face datasets derived from Danbooru2018: "Danbooru 2018 Anime Character Recognition Dataset" and SeePrettyFace.com: face dataset, in addition to the ones I made for my StyleGAN/BigGAN projects but haven't formally released. |
The one of SeePrettyFace.com are a pain in the ass to download. Require's me to download baidu's downloader and register in Chinese (I believe). |
Hi, I have a question, I run python main.py --dataset selfie2anime but I not sure if it is working. |
'cuz the dataset is not yet included here |
You can also try this anime_faces dataset that I parsed from the tfrecords of twingan project. As for a replacement of selfie dataset, you can try celebA and even CelebAMask-HQ(this can help you generate a high-res portraits dataset without backgrounds) |
In the directory structure of README.md doesn't it say that the training set should be jpg or png's? (haven't read the source code). |
Thx |
@sdy0803 |
The thing is that i find my GTX 1060 6GB cannot even run through the whole training progress with a miserable training dataset size of 140 pictures |
According to #3
So it is not so surprising that it will take much longer with 1060. |
thx. let me give it one more try |
Here's my dataset: And I did some preparations: According to the paper 5.2. Dataset, I wrote this script and selected 3400 female selfies(but the selfie labels seems contains some errors so there's still some male selfies) as trainset and 100 as testset. relatively, I choose the biggest 3500 anime pictures as anime trainset and testset. You can download this 2*3500 dataset from here. This dataset still can be improved, especially the selfie dataset. If the angle and position can be more corresponding with the anime, I think the preference will be better. as a matter of fact, these samples manually picked above are those selfies relatively good. |
|
数据集和模型下载 ==========================
|
Thanks for your sharing. Did you retrain the model with your anime dataset? Since they are in low resolution, did it affects? |
That's very nice summary, I think the dataset the author use was not so good for selfies, it's so disperse. As you said, maybe we should train with specific selfies, such as registration photo? So, did you retrain the model with your new datasets? How's the result look like? |
link of google drives is dead, can you update the link? |
Are the datasets discussed in the paper publically available? Specifically the
selfie2anime
images.The text was updated successfully, but these errors were encountered: