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hxwork / HandBooster_Pytorch

[CVPR 2024] HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions, Pytorch implementation.
MIT License
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Data annotation of Ho3D v2 dataset #1

Open M-leng opened 4 months ago

M-leng commented 4 months ago

Dear Hao Xu,

I have read your work on CVPR2023 and this work on CVPR2024.

I have one question of the data annotation of Ho3d v2 dataset.

In your work on cvpr2023, you noted that you used the pre-processed ground truths from handoccnet for ho3d dataset.

Did you also use the annotation of handoccnet on your new handbooster?

Looking forward for your reply.

Best wishes, Zhiying

hxwork commented 4 months ago

Hi Zhiying,

Thanks for your interest. Yes, we use the pre-processed ground truths from HandOccNet to train both the diffusion model in our HandBooster and the reconstruction baselines.

YiJian666 commented 2 months ago

Hi Zhiying,

Thanks for your interest. Yes, we use the pre-processed ground truths from HandOccNet to train both the diffusion model in our HandBooster and the reconstruction baselines.

您好，我发现您曾经在HandOccNet下回复没有复现出论文结果，请问你最后是怎么解决的呢，希望您可以帮我解惑，不胜感激 32962FE43E26CD6DAEB8E7CC4E88D912