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Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).

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great works! Can you share checkpoint in others way? the model url is hard to download

Thanks for your excellent work. I have one question about the image preprocessing. Does it have a standard alignment process (e.g. face detection) before sending the test image to the...

“./DAD-3DHeads/model_training/train/flame_lightning_model.py", line 247, in on_pretrain_routine_start for logger in self.logger: TypeError: 'TensorBoardLogger' object is not iterable

How do I build the custom training dataset? I use FaceBuilder for blender to annotate images,but I don't know how to generate the label json file.

Hi, I've been able to get the demo working and noticed that it outputs an .obj mesh. That's great, now I would like to take the parts of the original...

Thanks for your sharing! We'll appreciate it if you could show us more details of the whole process of annotation(how to build a preliminary mesh before labeling and which modifier...

Thank you very much for your excellent work and dataset for person face/head analysis. I found that the released DAD-3DHeads only contains dense 3D head mesh shape and two matrices....

In the Appendix, you metioned there was a full video of labeling process in the project webpage, but I can't find it. Can you share it?

how to get true yaw, pitch, roll annotation from current dataset?

I use [fit_scan.py](https://github.com/Rubikplayer/flame-fitting/blob/master/fit_scan.py) to generate my custom dataset. after train 500 epoch, to test image, 2d vertices are close to ok, but 3d vertices are not correct at all. What...