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Create a more accurate 3D model #222

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rezalahmi opened this issue Nov 27, 2022 · 8 comments
Open

Create a more accurate 3D model #222

rezalahmi opened this issue Nov 27, 2022 · 8 comments

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@rezalahmi
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Hi, thank you for this beautiful work.
I tried this model on several images. Why are the nasal structures of all exits the same? I have a bulge and deviation on my nose, but the nose model makes my nose look very beautiful. It's like I've had a nose job. Is there a way to improve the work and make more realistic models?
I think the model is not working correctly in determining the depth of the image. Therefore, it does not recognize the protrusion of the nose.

@mrsaleh
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mrsaleh commented Feb 4, 2023

What you are looking for is something like DECA, 3DDFA is very good for the first step of detailed face reconstruction.

@Zvyozdo4ka
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HEllo, @rezalahmi.

How did you run face reconstruction?

@rezalahmi
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rezalahmi commented Oct 16, 2023 via email

@rezalahmi
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rezalahmi commented Oct 16, 2023 via email

@Zvyozdo4ka
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@rezalahmi - many thanks! I am looking forward to it

@ZHJNCUT
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ZHJNCUT commented Jan 16, 2024

Are you aware of this? The pose parameter of the 300W-LP dataset is 7 dimensional
However, in the implementation code of the 3DDFA paper, the 12 dimensions of regression are used directly
I don't know the connection, do you know this? There are many people asking this question on github, but I can't find the answer, can you help me

@Zvyozdo4ka
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Are you aware of this? The pose parameter of the 300W-LP dataset is 7 dimensional However, in the implementation code of the 3DDFA paper, the 12 dimensions of regression are used directly I don't know the connection, do you know this? There are many people asking this question on github, but I can't find the answer, can you help me

Unfortunately, i am not aware. I got inappropriate results, and the output did not resemble the aimed person.
And nobody actually gave any advice or hint, so i just gave up and found more accurate methods

@ZHJNCUT
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ZHJNCUT commented Jan 19, 2024

你知道这一点吗?300W-LP数据集的位姿参数是7维的,但是在3DDFA论文的实现代码中,直接使用了回归的12维,不知道有什么联系,你知道这个吗?github上有很多人问这个问题,但我找不到答案,你能帮我吗

不幸的是,我不知道。我得到了不适当的结果,并且输出与目标人不相似。 实际上没有人给出任何建议或提示,所以我只是放弃并找到更准确的方法

Ok, thank you. I saw that the code evaluation scheme in 3DDFA only has two-dimensional feature points (NME) error, there is no three-dimensional vertices (NME) error, I learned that the normalization of the calculation of three-dimensional vertices (NME) error is: the three-dimensional outer eye spacing of the face, you know how to find this, its index values are how much?

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