Single Image To 3d Model. The model can be trained using any image dataset without the need for annotated data. The model was trained using an nvidia v100 gpu with the cudnn accelerated pytorch deep learning framework.
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The model was trained using an nvidia v100 gpu with the cudnn accelerated pytorch deep learning framework. Being able to create 3d models of faces like this could have all sorts of applications in the digital world. For this project the team used the ms coco dataset with the pretrained megadepth megadepth.
It would be an image that was taken from the side as it makes modeling much easier.
The model can be trained using any image dataset without the need for annotated data. Learning single view depth prediction from internet photos model first published by cornell university. Convert images drawings logos or anything you want from a 2d image into a 3d model in seconds. Being able to create 3d models of faces like this could have all sorts of applications in the digital world.
