Johnson yue

Results 65 issues of Johnson yue

Hi, thanks your code , the paper is said that diffusion model can not reverse the image so , how to reconstruction input image like Fig8 in paper ??

I have a trained model ,I want test this model like your **Demostration**, But, it seems no code here

你好,谢谢你的分享, 我可以按照Usage 运行并生成语音文件。 但是当我尝试运行web api 的时候,返回的结果有问题,我对web不了解,不知道怎么解决 Client: ![image](https://user-images.githubusercontent.com/10268274/100752115-225dbb80-3423-11eb-81bf-d2d23f17f575.png) Server: ![image](https://user-images.githubusercontent.com/10268274/100752152-330e3180-3423-11eb-96cc-cbf2f5ee6e26.png) 可以看得出来,server那边已经生成完了,但是返回可能有点问题吧

Hello,I run ‘build_v140.cmd’ in windows10,and occur an error`Performing configuration checks - 32-bit : yes (cached) - arm : no (cached) - mips1 : no (cached) - power : no (cached)...

Hi,if I have a new dataset with source domain x and target domain y , how I train the model like creativity/portrait-to-photo as your paper said, it should be train...

Hi, Thank you for your share.When I reproduce ,I have some trouble .It confuse me much time.Please help me. Error log: Extracting X relu1_1 From Y conv1_2 stride 1 Process...

I want to train with my own dataset, it is like FONT-SVG dataset. but the original data format is *.ttf, So My qestion is how to build a dataset as...

documentation

In svgtensor.ipynb , if I want to optimize from Img2 to Img1 ,not from SVG.unit_circle() to Img1, how should I do, I tried replaced svg_pred with other SVG.load_data() , but...

enhancement

Hi, thank you your code, I learn a lot, but I want to ask: you train your model with 27 fonts but in your code embedding_num=40, so the true_labels range...

![image](https://user-images.githubusercontent.com/10268274/121486285-9648d400-ca03-11eb-963f-6e9311b59308.png) ![image](https://user-images.githubusercontent.com/10268274/121486380-abbdfe00-ca03-11eb-99d7-1c3305d4e17d.png) But in the code https://github.com/hszhao/SAN/blob/d88b022fc3ec4920d4596f94983f0e5b1ced62c6/model/san.py#L39-L42 I think the self.conv_w is the mapping function but it is different from paper **code**: BN -> R -> Conv -> BN ->...