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Hello, first of all, thank you so much for your open source. I am very interested in your work. #1

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thebestYezhang opened this issue Apr 24, 2023 · 4 comments

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@thebestYezhang
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I have finished the finetuning exm in my personal album flowing your Redme.md. The result remains good and fantastic! But I have a question: as stated in your paper, the diff-org will be affected by DECA’s limited estimation capability. So can I replace the DECA part with Deep3D model? Do you have any suggestions for me if I do the replacement?

@zh-ding
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zh-ding commented May 7, 2023

Hi, thanks for your interest in our work! Yes, I think that should be feasible. Ideally any model like DECA might work. We choose DECA since it's easy to use and manipulate.

@QvQKing
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QvQKing commented Aug 12, 2023

Hi, thanks for your interest in our work! Yes, I think that should be feasible. Ideally any model like DECA might work. We choose DECA since it's easy to use and manipulate.

Hi, I encountered this issue while running the project and would like to ask you how to solve it.
creating the FLAME Decoder
trained model found. load /hy-tmp/2023A/DECA/diffusion-rig-main/data/deca_model.tar
/usr/local/miniconda3/envs/diffusionrig1.11/lib/python3.8/site-packages/pytorch3d/io/obj_io.py:546: UserWarning: Mtl file does not exist: /hy-tmp/2023A/DECA/diffusion-rig-main/data/template.mtl
warnings.warn(f"Mtl file does not exist: {f}")
Traceback (most recent call last):
File "scripts/create_data.py", line 133, in
main()
File "scripts/create_data.py", line 33, in main
testdata = datasets.TestData(
File "/hy-tmp/2023A/DECA/diffusion-rig-main/decalib/datasets/datasets.py", line 73, in init
self.face_detector = detectors.FAN()
File "/hy-tmp/2023A/DECA/diffusion-rig-main/decalib/datasets/detectors.py", line 22, in init
self.model = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D, flip_input=False)
File "/usr/local/miniconda3/envs/diffusionrig1.11/lib/python3.8/enum.py", line 384, in getattr
raise AttributeError(name) from None
AttributeError: _2D

@sunzhe09
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sunzhe09 commented Oct 8, 2023

I met the sample problem

@sunzhe09
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sunzhe09 commented Oct 9, 2023

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