Closed jychoi118 closed 1 year ago
Thank you for your interest in our work! Our preliminary results show that vanilla concat conditioning + guidance works better than guidance alone, and can generalize to multiple categories. But this is still at a very early stage so we have not yet included the config for image-conditioned model.
Thank you for your response!
Thank you for sharing the code. The work is very interesting.
Have you tried training image-conditioned diffusion model for sparse-view reconstruction?
As I understand the paper, SSDNeRF uses unconditional diffusion model + guidance, instead of a conditional diffusion model. I found concatenation conditioning in the code, but it seems to be unused.