apple-sharp-torch#

Fast single-image to 3D Gaussian splat model generating photorealistic novel views in under one second.

Details

  • Model name: apple-sharp-torch

  • Model source: apple/ml-sharp

  • Model author: Lars Mescheder, et al.

  • Model license: Apple Sample Code License

  • Model size: 2.62 GB

  • Exposes embeddings? no

  • Tags: 3d, gaussian-splatting, novel-view, torch, transformer

Requirements

  • Packages: torch, torchvision

  • CPU support

    • yes

  • GPU support

    • yes

Example usage

 1import fiftyone as fo
 2import fiftyone.zoo as foz
 3
 4dataset = foz.load_zoo_dataset(
 5    "coco-2017",
 6    split="validation",
 7    dataset_name=fo.get_default_dataset_name(),
 8    max_samples=50,
 9    shuffle=True,
10)
11
12model = foz.load_zoo_model("apple-sharp-torch")
13
14dataset.apply_model(model, label_field="predictions")
15
16session = fo.launch_app(dataset)