Given a short query with keyphrases about a research idea in 2019 in the domain of artificial intelligence, recommend the relevant datasets to validate the research idea from options provided. A short description of the datasets is also provided to help you.

Query: I want to reconstruct a 3D object with complete shape geometry from a

Keyphrases: 3d shape completion images silhouette

Dataset description:
T-LESS: T-LESS is a dataset for estimating the 6D pose, i.e. translation and rotation, of texture-less rigid objects.
Thingi10K: Thingi10K is a dataset of 3D-Printing Models. Specifically there are 10,000 models from featured “things” on thingiverse.com, suitable for testing 3D printing techniques such as structural analysis , shape optimization, or solid geometry operations.
Pix3D: The Pix3D dataset is a large-scale benchmark of diverse image-shape pairs with pixel-level 2D-3D alignment. Pix3D has wide applications in shape-related tasks including reconstruction, retrieval, viewpoint estimation, etc.
3D Shapes Dataset: 3dshapes is a dataset of 3D shapes procedurally generated from 6 ground truth independent latent factors. These factors are floor colour, wall colour, object colour, scale, shape and orientation.

Options:- A: T-LESS  B: Thingi10K  C: Pix3D  D: 3D Shapes Dataset
Pix3D