Comments (1)
Thank you for your interest in our work.
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Theoretically, we need just one set of 2D keypoints. In practice, first, we found that there are often times when our 2D hand keypoints are more accurate than the original results as our model is trained with more data. Second, we believe that training our network with both 2D keypoints tasks and 3D POF can be helpful. For simplicity, we just used our own network output, but you can definitely integrate OpenPose and other information as well.
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That number was manually chosen empirically.
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Related Issues (20)
- How to get the model? HOT 1
- Server posefs1.perception.cs.cmu.edu Offline
- BUILD ERROR : Glew HOT 12
- Docker is built successfully, but cannot run HOT 1
- about pose_to_transforms
- What's the difference between this work and 3D pose estimation? HOT 1
- Problems with remote server operation
- Problems running on remote servers HOT 1
- How to save the fitting result to obj files?
- Error during docker installation. HOT 9
- CMakeFiles/igl.dir/build.make:1420: recipe for target 'CMakeFiles/igl.dir/include/igl/dual_contouring.cpp.o' failed #1729
- undefined reference to `glewInit' undefined reference to `__glewUseProgram' Renderer.cpp:(.text+0x435): undefined reference to `__glewGenVertexArrays' HOT 1
- There only 30 frames generated by the method while processing a half body video. HOT 1
- posefs1.perception.cs.cmu.edu/mtc seems down, alternative site? HOT 8
- does it work with opencv version 4.2?
- question about save test time
- ---solved
- Error when fitting Adam HOT 1
- question about the time of mesh tracking project
- Unable to download data. http://posefs1.perception.cs.cmu.edu/mtc/mtc_snapshots.zip Timeouts HOT 1
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