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Junyi42 / monst3r

Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"
https://monst3r-project.github.io/
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The reproduction results look poor #12

Open Yuhuoo opened 2 hours ago

Yuhuoo commented 2 hours ago

Why does the result I reproduced perform worse than the result reported in your report? Here are the results of my reproduction.

https://github.com/user-attachments/assets/4b30d0b0-2070-4674-a65f-7d6d6e6b2d41

Junyi42 commented 2 hours ago

Hi @Yuhuoo,

Thanks for your feedback. As mentioned in #3, our visualization is based on the ground truth motion mask of DAVIS.

To get a better visualization when the motion mask is noisy, you could simply add a --no_mask for the visualization code (i.e., python viser/visualizer_monst3r.py --data path/schoolgirls --no_mask), which will not stack all the background pointclouds.

Alternatively, you could also add a --use_gt_mask for the evaluation script here https://github.com/Junyi42/monst3r?tab=readme-ov-file#evaluation, which should be able to generate similar results as our online visualization.

Thanks.