Crescat

Results 15 comments of Crescat

Thanks a lot for your contribution. Hope this can be solved next week.

Thank you for your response. I noticed in the huggingface demo, you replace the attention manipulation in your paper with GLIGEN. You use another layout control method here, so are...

Thank you very much for your thoughtful response. Finally, I would like to ask for one more suggestion: If I'm not too concerned about the specific location of the generated...

Thanks very much. I will look up the code carefully before asking follow up questions🤔 And I think controllable generation for stable diffusion is meaningful and has its impact, maybe...

Same error. Did you solve this?

> the website is fixed now, I tried some examples on this website, but the results I obtained are significantly different from those presented in the paper. ....... > >...

> Please note that by default, the bootstrapping parameter is set to 20, as in the application of tight masks. The high bootstrapping parameter encourages high-fidelity to accurate segmentation masks,...

For the input, the provided code is definitely the most accurate. Please understand it according to the code. As for the calculation of SSIM, please also refer to the specific...

Unfortunately, since a long time has passed, and I have left the original lab and moved on to a different research direction, I no longer have the code for the...

Unfortunately, since a long time has passed, and I have left the original lab and moved on to a different research direction, I no longer have the code for the...