The code to obtain 4-views rendered results of the Cape dataset about icon HOT 5 CLOSED

Please check dataset.md to know the rendering procedure

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Please check dataset.md to know the rendering procedure
So, the THuman2.0 dataset and the CAPE dataset share the same rendering pipeline?
However, the CAPE dataset does not have tex_file = f'./data/{dataset}/scans/{subject}/material0.jpeg' and fit_file = f'./data/{dataset}/{smpl_type}/{subject}.pkl'.

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Yes, the textured scans of CAPE are not publicly available.

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Yes, the textured scans of CAPE are not publicly available.
So I cannot render the CAPE dataset according to my own needs?
In fact, I am trying to reproduce the work of D_if, but my test results differ from the paper to some extent.
So, I looked into the reasons. I found that Xueting Yang rendered the CAPE dataset from four viewpoints, but I can only download the rendering results of three viewpoints. Could this be a reason for my poorer test results?

By the way, is there any way to get the 4-view rendering result of CAPE?

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I think this is a typo, D-IF does evaluation under the same setting as ICON with 3 views (0, 120, 240), see PIFuDataset.py#L99.

All these testing data could be downloaded from CAPE. No need to re-render them.

I will ask @yxt7979 to update the arXiv later. Thanks for correcting us.

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