StanfordVL / OmniGibson

OmniGibson: a platform for accelerating Embodied AI research built upon NVIDIA's Omniverse engine. Join our Discord for support: https://discord.gg/bccR5vGFEx
https://behavior.stanford.edu/omnigibson/
MIT License
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Automatic remeshing doesn't work for small objects (e.g. dishtowel) - the resulting mesh has too many (unevenly distributed) vertices #526

Open ChengshuLi opened 8 months ago

ChengshuLi commented 8 months ago

In previous versions of MeshLab (2020.x.x), adaptive remeshing alleviates this problem - there are still too many vertices, but more evenly distributed.

In the latest version of MeshLab, that flag no longer works (even in the native app, not just pymeshlab) - producing the same remeshing results no matter whether the flag is on or off.

cgokmen commented 8 months ago

Wensi and I recently froze the pymeshlab version at 2022.12 arbitrarily. Is this an issue at that version too?