Thank you for your amazing work! Your idea about the sparse view iput and depth guidance has been very inspiring to us. However, we have some questions regarding depth estimation:
（1）After 2000 iterations, is the depth of the synthesized pseudo-views estimated using the Midas model's estimate_depth function?
（2）Before 2000 iterations, how was the depth of the given sparse views obtained? Was it also estimated using the Midas model? However, referring to the figure below, I did not find the process of depth calculation. Could you please inform me how the depth of the given sparse views was obtained before synthesizing the pseudo-views?
（3）Throughout the entire 10000 iterations, was all render_depth estimated using the relevant code in diff_gaussian_rasterization? Does this mean that you added a depth attribute to diff_gaussian_rasterization based on the original 3D GS and added relative calculation method？
Thank you for your amazing work! Your idea about the sparse view iput and depth guidance has been very inspiring to us. However, we have some questions regarding depth estimation:
（1）After 2000 iterations, is the depth of the synthesized pseudo-views estimated using the Midas model's estimate_depth function? （2）Before 2000 iterations, how was the depth of the given sparse views obtained? Was it also estimated using the Midas model? However, referring to the figure below, I did not find the process of depth calculation. Could you please inform me how the depth of the given sparse views was obtained before synthesizing the pseudo-views?
（3）Throughout the entire 10000 iterations, was all render_depth estimated using the relevant code in diff_gaussian_rasterization? Does this mean that you added a depth attribute to diff_gaussian_rasterization based on the original 3D GS and added relative calculation method？