Thank you for your great work!
Regarding causal-rcm, can I independently use tf-dcm or tf-scm to distill my causal model to obtain a good few-step causal model? I already have a TF-based pipeline and a self-forcing-like DMD process built on our model, aiming to improve frame-wise performance. I have tried the causal consistency distillation(looks consistent with the logic of dCM)used in causal-forcing++, but the results were unsatisfactory for framewsie inference. Is this reasonable, and do you expect any improvement with sCM? I would very much like to test your approach.
Thank you for your great work!
Regarding causal-rcm, can I independently use tf-dcm or tf-scm to distill my causal model to obtain a good few-step causal model? I already have a TF-based pipeline and a self-forcing-like DMD process built on our model, aiming to improve frame-wise performance. I have tried the causal consistency distillation(looks consistent with the logic of dCM)used in causal-forcing++, but the results were unsatisfactory for framewsie inference. Is this reasonable, and do you expect any improvement with sCM? I would very much like to test your approach.