V2V-PoseNet_RELEASE
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
Estimate 3D hand and human poses from a single depth map using a specific neural network model.
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Free · no card · unsubscribe anytimeOfficial Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
V2V-PoseNet_RELEASE has 391 stars on GitHub. It has been forked 69 times. V2V-PoseNet_RELEASE is written mainly in MATLAB. It has been in active development since 2018. V2V-PoseNet_RELEASE is available under the MIT license. Its main topics are 3d-hand-pose, 3d-human-pose, 3d-pose-estimation, computer-vision.
What is V2V-PoseNet_RELEASE?
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
Is V2V-PoseNet_RELEASE open source?
V2V-PoseNet_RELEASE is an open-source project. It is released under the MIT license.
Is V2V-PoseNet_RELEASE free?
Yes. V2V-PoseNet_RELEASE is free and open source — you can use, modify and self-host it.
What license does V2V-PoseNet_RELEASE use?
V2V-PoseNet_RELEASE is available under the MIT license.
What language is V2V-PoseNet_RELEASE written in?
V2V-PoseNet_RELEASE is written mainly in MATLAB.
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