Open dmus opened 1 year ago
Thank you!
That paper is still in the major revision of a journal so our lab hope to release the configuration and github after the full acceptance. However, if I am doing some 64x64x64 volume synthesis, I think I will try something like:
num_channels=64 attention_resolutions="32,16,8" channel_mult = (1, 2, 3, 4) num_heads=[4,4,8,16] window_size = [[4,4,4],[4,4,4],[4,4,4],[4,4,4]] num_res_blocks = [2,2,2,2] sample_kernel=([2,2,2],[2,2,2],[2,2,2],[2,2,2])
Thanks, and do you use mixed precision or not? It can make inference a lot faster, but I can also imagine high precision is needed for the diffusion models?
Nice work, will you also share the model configuration you used for the model in "Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model"?