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DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)

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Thanks a lot for your great work. I wonder how can I feed the model with images of a human face captured from multiple views (at the same time of...

Hello, thanks for your awesome work. Is it possible to extract the shape, pose, expression parameters from meshes, not from 2d images? In other words, can the meshes be input?...

# as i'm openning this mesh in another software im seeing like this ![image](https://github.com/yfeng95/DECA/assets/116459669/e6653a8d-e6ce-4f7d-aa4a-353a38f31c6c) # how to solve this problem ??

PS: This is not an issue. Adding it here as the fellow community dont need spend too much time in setting up the env **Anaconda || Ubuntu 22.04 || Python...

/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. warnings.warn( /usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or...

/usr/local/lib/python3.12/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. warnings.warn( /usr/local/lib/python3.12/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or...

I set `--iscrop=false`, But the person's face is looking down. What's going on? ![image](https://github.com/yfeng95/DECA/assets/66928091/a240dee3-814b-4433-a4aa-9bd3c80e726a)

``` ## projection landmarks2d = util.batch_orth_proj(landmarks2d, codedict['cam'])[:,:,:2]; landmarks2d[:,:,1:] = -landmarks2d[:,:,1:]#; landmarks2d = landmarks2d*self.image_size/2 + self.image_size/2 landmarks3d = util.batch_orth_proj(landmarks3d, codedict['cam']); landmarks3d[:,:,1:] = -landmarks3d[:,:,1:] #; landmarks3d = landmarks3d*self.image_size/2 + self.image_size/2 trans_verts =...

![00006200 2](https://github.com/yfeng95/DECA/assets/23420343/1844e1a7-eb5f-4a46-9c90-35d9d7fc369d) ![00006200](https://github.com/yfeng95/DECA/assets/23420343/37763e05-d908-42e3-b69c-5e284d09b056) The first image show the false mesh after taking the detail training (I tested that it came from photo_detail_mrf loss.) The second one, it show the colorless...

I'm coming here from CodeTalker repo since it needs .pkl and .ply files both as output.