PanoHead

Code Repository for CVPR 2023 Paper "PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360 degree" (by SizheAn)

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  • PanoHead

    Code Repository for CVPR 2023 Paper "PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360 degree" (by hack-mans)

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PanoHead reviews and mentions

Posts with mentions or reviews of PanoHead. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-23.
  • Synthesized 360 views of Stable Diffusion generated photos with PanoHead
    3 projects | /r/StableDiffusion | 23 Jun 2023
    Using the recently released PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360° code https://github.com/sizhean/panohead I had a go with people generated from Stable Diffusion (using DeliberateV2 model). I've not figured out yet how they're generating the camera pose information (in the dataset.json inside dataset folder) so I just used their example images and ran through ControlNet to ensure it was the same camera pose for my images, swapping my image file name for the label in the json array. To get the code running I used WSL Ubuntu and installed Cuda Toolkit 11.3, then created the conda environment from their instructions. I think the code is expecting multiple GPU so I had to change the line device = torch.device('cuda') in all of the main python files in the repo. It could be possible to use the results of this to make a synthetic dataset for dreambooth training of a new coherent person (with a bit of work, the quality needs to be a little higher, maybe running images back through img2img + ControlNet first to clean up).

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1,849
4.8
3 months ago

SizheAn/PanoHead is an open source project licensed under Creative Commons Zero v1.0 Universal which is not an OSI approved license.

The primary programming language of PanoHead is Python.


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