Udon

``` model.module.encode_w ```

Hi, @RameenAbdal ! Have you provided the pretrained classifier used in your paper? I cannot find it.

Thank you for your quickly replying and telling me. I know that the distanceTransformed image is significantly important. I'll try to learn a network without this information. Thank you!

Hi, @patrickvonplaten, @anton-l! Actually, it is easy to implement it using this library https://github.com/pytorch/TensorRT#python. The library provides a compiler so that we just compile our network instance. However, I have...

The sampling is implemented at https://github.com/crowsonkb/k-diffusion/blob/master/sample_clip_guided.py#L32. To achieve a conditional sampling, the following score is necessary: $\nabla_{x} \mathrm{log}p(x|y) = \nabla_{x} \mathrm{log}p(x) + \nabla_{x} \mathrm{log}p(y|x)$. According to the [Karras+ arXiv22], the...

I also hope to use the weight of the decoder. If we have the decoder, BEiTv2 can visualize a plausible image (i.e inpainted image) from an image with missing patches...

In summary, when a loss is calculated, the range of `fake_H` is just output values of a generator and the range of `real_H` is [0, 1] since it is normalized...

Thanks for replying. You implement the CRF part by MATLAB, ok. So, `run_test function` in [here] (https://github.com/chengchunhsu/WSIS_BBTP/blob/master/tools/train_net.py#L79)do not work now, right? I think that It's easier to implement CRF by...

I also hope this request!

Thank you for attracting our work. We do not assume that a test image has such annotations since we use an “unannotated” split in our evaluation. We believe that you...