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I'm currently working on combine the mast3r sfm pipeline based on what's given in kapture_mast3r_mapping.py(see branch mast3r_sfm) with gaussian splatting training.
I found that although the result of the sfm resconstruction is pretty good but the result of gaussian splatting shows the psnr is not satisfying. Anyone have some ideas?
I guess it might because of the initial distribution of the point cloud. I tried to densify the point cloud but the psnr is not improved. Could it be influenced by the initial distribution of the point cloud?
The text was updated successfully, but these errors were encountered:
I'm currently working on combine the mast3r sfm pipeline based on what's given in kapture_mast3r_mapping.py(see branch mast3r_sfm) with gaussian splatting training.
I found that although the result of the sfm resconstruction is pretty good but the result of gaussian splatting shows the psnr is not satisfying. Anyone have some ideas?
I guess it might because of the initial distribution of the point cloud. I tried to densify the point cloud but the psnr is not improved. Could it be influenced by the initial distribution of the point cloud?
The text was updated successfully, but these errors were encountered: