Open mycfhs opened 5 days ago
Hi, thanks for your interest in our project.
Eq.12 means that in some regions of the image, the pixels come from the warped image, while in other regions, the pixels are directly generated from the diffusion model. In latent space, this means, in some regions of the image, the feature come from temp_cond_latents
and other generated from diffusion model. The variable λ is used to compute the mask that represents the regions top_masks
where the temp_cond_latents
is used.
https://github.com/ZHU-Zhiyu/NVS_Solver/blob/e8433d60a01eccf7cd967281ec42911aa843c4f2/src/diffusers/schedulers/scheduling_euler_discrete.py#L930-L958
The code implemented the solution Eq.18 of Eq.17 in: https://github.com/ZHU-Zhiyu/NVS_Solver/blob/e8433d60a01eccf7cd967281ec42911aa843c4f2/svd_interpolate_single_img.py#L1110-L1145
Hello, I'm trying to understand your paper through code. Would you like to tell me where are the parts of the code corresponding to equations (12) and (17)?