You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Great job! I’d like to ask a question about training loss. In the process of training diffusion model, there are two losses: $L_{LD}$ and $L_{AIR}$ (corresponding to Equation 8 and Equation 10 in the paper). $L_{LD}$ only has gradients for the U-Net of diffusion model, while $L_{AIR}$ has gradients for both U-Net and SCM. I would like to know whether, during the training process of diffusion, only $L_{AIR}$ is used for training, or if the weighted sum of both losses is used for training, or if there are other training methods being employed?
The text was updated successfully, but these errors were encountered:
Second, if the loss $L_{LD}$ is used, then what dose $z_t$ represent? Is it obtained by adding sampled noise to the VQVAE feature of the clean image $I_{gt}$?
Great job! I’d like to ask a question about training loss. In the process of training diffusion model, there are two losses:$L_{LD}$ and $L_{AIR}$ (corresponding to Equation 8 and Equation 10 in the paper). $L_{LD}$ only has gradients for the U-Net of diffusion model, while $L_{AIR}$ has gradients for both U-Net and SCM. I would like to know whether, during the training process of diffusion, only $L_{AIR}$ is used for training, or if the weighted sum of both losses is used for training, or if there are other training methods being employed?
The text was updated successfully, but these errors were encountered: