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Hi there,
I want to clarify my understanding of the `body_pose` parameter to correctly reconstruct a `body_pose` by predicting an angle in addition to joints during 3D Human Pose Estimation (HPE).
…
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Hello and thank you for your work.
I am trying to run your method in a custom dataset and I am trying to see what is the minimum data requirements. Given a dataset structurally similar to ZJU-MoCap…
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Hi,
1) Is it possible to train the IPAdapter model without text? The training tutorial code expects the data input to have a list of {image_file, text}. But given that the IPAdapter is a visual ad…
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I have pose keypoints dataset for the upper body only, Can I retrain your model for this?
Could you share more details on this or if you aware of better way for upper body human mesh reconstruction o…
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Hello,
I recently read your paper 'Three-dimensional Reconstruction of Human Interactions' and noticed the segmentation of body part regions(75 or 17) presented in Figure 4. However, I have a few q…
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We have a research project related to 3D reconstruction of upper body part to estimate the intubation difficulty of patients. However, when we applied your model on images that contain only upper body…
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As lots of excellent work is going to appear in CVPR 2022, we are collecting the newly released papers related to human mesh recovery (a.k.a. 3D human pose and shape estimation).
If you have any pr…
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This issue is intended to collect related papers appearing in ICCV'23/NeurIPS'23 and recent papers missed out in the survey. Please feel free to post comments if you have any suggestions!
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Hi there,
Thanks for your great work. I have set up your codes and able to run it successfully. But with the default setting, I tested in your EHF dataset, there're many failure cases, I got many …
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To get the smpl parameters, I use whole-body codes,The final result is smpl-x param.json as follows,how do I change the parameter settings?
# save SMPL-X parameters
root_pose = out['smplx_root_pose'…