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Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.

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Hi, thanks for your grate jobs! Currently I am testing fitting with 3D landmarks. I have note that it uses 51 landmarks in demo, it works well.How can i extend...

I have a 3d scan that also has hair geometry over the head. But when converting that scan to Flame, hair geometry and the expressions are lost. Please if you...

The original command to download eigen in README will download a version that is too new to use. The version [eigen-3.3.7](https://gitlab.com/libeigen/eigen/-/releases/3.3.7) will works fine.

def load_binary_pickle( filepath ): with open(filepath, 'rb') as f: data = pickle.load(f, encoding="latin1") return data

Hi, I have a mesh generated from deep3dface reconstruction model. It has texture and a BFM07 face, I want fitting it to FLAME and using the same texture on flame...

@TimoBolkart Hi, Thanks for your great work. The objective weights you provided can make the fitting result good most of the time. But when the eyes are closed, the eyes...

How to extract the 3d landmarks sequence from the .obj file sequence output by VOCA? Many thanks

Hello! I fit my scan data to flame. How can I optimize the parameters of expression and jaw to make my data (pictured below) generate new expressions. Can this be...

Hello, thanks for sharing this code! I have a question regarding the license. In the README I understood that the license of the Code is the same as the FLAME...

Hi, thank you once again for the great work. How did you obtain the embedding landmarks for your FLAME model? What does the lmk_face_idx mean in embedding landmarks? Lastly, utilizing...