shubhtuls / volumetricprimitives Goto Github PK
View Code? Open in Web Editor NEWCode release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)
Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)
Hi!
Thank you for sharing the code. I am tring to running the demo code, but I found the link for downloading the pretrained model is broken. I wonder could you fix the link?
Thanks
Can you please let me know how can I visualize the results as you display in the project page. I mean the code that is used for rendering out the results.
Thanks
Hi Shubhtuls,
After much investigation in the dataset, I've found some interesting properties in each mat files. They are tsdf
and closest points
. But in the paper, these are only needed when calculating the loss. Can you provide more information about them?
Thanks
Hi,
I am getting the following error on running precomputeShapeData file.
error: 'extractfield' undefined near line 34 column 34
error: called from
getFileNamesFromDirectory at line 34 column 20
precomputeShapeData at line 18 column 16
Thank you for your perfect work. I have a question about the initialization of the primitives. Could please show me where you initialize the position, shape and transformation of the primitives in your code? Thank you very much.
Could you please provide the precompiled file, or which boost version should I use to recompile.
Hello,
First of all thanks for sharing the code. I have a couple of questions, how do you bias the cuboids to be small in the first step of the learning? Do you clip the output of the network? Also, how does the last layer that predicts the size, probability, translation and rotation of the primitive looks like? What activation functions have you used? Can you point me where can I find it in the code?
Thank you for your help!
Can you please kindly explain how is the loss defined on this line related to the consistency loss and coverage loss defined in the paper?
Thanks,
Shumin
Hi Shubham,
I'm an undergrad student working on shape primitives decomposition and found the "Learning Shape Abstractions by Assembling Volumetric Primitives" paper, your project extremely interesting.
But I'm quite confused by the acronym "Tsdf". I'm guessing "df" stands for "distance field" but couldn't come up with a good hypothesis for "Ts" after much thinking (is it transformed?).
Could you please hint me at what they are referring to? It'd be really helpful.
Best,
Yichao
Great jobs!
your link with point_mesh_squared_distance.mexa64 not found(404)。could you provide a new link with the precompiled version of point_mesh_squared_distance.mexa64? Thank you very much!
And, I compile compile_gptoolbox_mex_modified
will occur
>> compile_gptoolbox_mex_modified
警告: This is **VERY** experimental. In principle, this should compile all of the mex functions in this
directory. In practice, users will surely have to adjust paths and flags at the top of this file.
> In compile_gptoolbox_mex_modified (line 96)
Hit any key to continue...
警告: 函数或变量 'EIGEN_INC' 无法识别。
> In compile_gptoolbox_mex_modified (line 133)
how I solve it?
Thanks for sharing the code. We are considering using this code for our own project. I noticed that in your code, you actually didn't predict a translation for every part, despite the paper's formula. Intuitively, this shouldn't make a big difference, but have you done experiments to compare them? I would really love to know the results. Thanks!
Interesting work.
Can you provide the dataset of four-legged animals?
Dears,
Kindly, i want to inquire about
Is the predicting parameters of each primitive is independent from the other primitives,which means is the parameters of each primitive is independent of each other or not.how all these primitives are combined together to determine the full shape.
why the model predict primitives and at final all these primitives combines the shape,what prevent the model to predict the same primitive each time ?
why the primitives is attached to each other,what force this behavior in the prediction process
Thanks for your work!
I'm trying to run Matlab preprocessing script but have this issue reporting unrecognized function 'polygon2voxel_double'. Does anyone have solutions for this one?
Unrecognized function or variable 'polygon2voxel_double'.
Error in polygon2voxel (line 171)
Volume=polygon2voxel_double(FacesA,FacesB,FacesC,VerticesX,VerticesY,VerticesZ,VolumeSize,Wrap);
Error in precomputeShapeData (line 61)
Volume=polygon2voxel(FV,gridSize,'none',false);
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