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[CVPR 2023] DiffPose: Toward More Reliable 3D Pose Estimation

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I would like to ask if it is possible to provide the pre-trained model of mixste and the model parameter file of diffpose-video in the video-based experiment

Hello, thank you for your great work. But I still have some puzzles: 1) Why are the probabilities of the three Gaussian distributions of all samples 1,0,0 after the 2D...

(base) PS C:\Diffpose> conda env create -f environment.yml Channels: - pytorch - conda-forge - defaults Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: failed Channels: - pytorch - conda-forge...

hello, when i train the model on multiple gpu cards, the loss calculation always cause errors for the misalignment in dimension 0, i'm awared of the batchsize have changed for...

Hi, Can you provide pre-processing code how you have converted data_2d_h36m_cpn_ft_h36m_dbb.npz into gmm ?

hello,could you provide the code of the dataset--MPI-INF-3DHP

Thanks for your great work,i want to use my own video for a test , what should i do?

Hello, you mentioned in your paper the construction process of GMM, which requires sampling of 1000 frames in the dataset, does this operation cause generalization problems?

In the paper a 'Context Encoder' is used to condition the diffusion model. It appears that this conditioning is here https://github.com/GONGJIA0208/Diffpose/blob/main/models/gcndiff.py#L101 but doesn't appear to be used. Is this the...

We are very very busy in recent and coming months. We will try our best to release the video-based code soon, You can consider modifying the frame-based framework to make...