Closed HaixinShi closed 4 months ago
We ran marching cube to convert SDF to meshes and then we can use the points in the vertices to compare.
Thanks a lot for the reply!!! My concern was that: the GT mesh should only contain thin object surface and our SDF method with marching cube would also generate a thin object surface; however, the point cloud downloaded from Hampali et al contains a lot of points inside the object surface. If we sample(or consider) a lot of points that are too far away from the object surface then its performance would be pretty poor?
Hmm. I didn't noticed that but we checked qualitatively first before getting any numbers
Same here! Previously I also found my method was better than theirs qualitatively. I just found this problem recently. Do you plan to publish meshes from your method on HO3D? Looking forward to doing some comparison :D
yes, we will publish data, models, and weights.
You can sign up for an HOLD account on our README. We will notify the code release there.
yes, we will publish data, models, and weights.
I could not find the released meshes on HO3D sequences. Am I missing something? THanks in advance!
Hello Zicong,
It is a very great work! Looking forward to the code! I am also working on HO3D dataset and want to compare my result with Hampali et al. I wonder how did you compare your results with their Method? I found the shape in their website is actually Point Cloud and there are tons of points inside the object. Our methods are SDF based so I think they are not fully comparable?
Thanks a lot in advance!
Best, Haixin