update loss weights

Signed-off-by: Can-Zhao <[email protected]>

models/brats_mri_generative_diffusion/scripts/losses.py

@@ -15,7 +15,7 @@
 adv_loss = PatchAdversarialLoss(criterion="least_squares")
 
 adv_weight = 0.1
-perceptual_weight = 0.1
+perceptual_weight = 0.3
 # kl_weight: important hyper-parameter.
 #     If too large, decoder cannot recon good results from latent space.
 #     If too small, latent space will not be regularized enough for the diffusion model