Pages that link to "Item:Q2056105"
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The following pages link to Inferring 3D shapes from image collections using adversarial networks (Q2056105):
Displaying 9 items.
- Unsupervised 3D shape segmentation and co-segmentation via deep learning (Q1632413) (← links)
- Quantitative and flexible 3D shape dataset augmentation via latent space embedding and deformation learning (Q2010274) (← links)
- EdgeNet: deep metric learning for 3D shapes (Q2010308) (← links)
- Pix2Shape: towards unsupervised learning of 3D scenes from images using a view-based representation (Q2056096) (← links)
- Learning geometry-aware joint latent space for simultaneous multimodal shape generation (Q2127700) (← links)
- EasyMesh: an efficient method to reconstruct 3D mesh from a single image (Q2187351) (← links)
- Learning single-image 3D reconstruction by generative modelling of shape, pose and shading (Q2193559) (← links)
- Robust attentional aggregation of deep feature sets for multi-view 3D reconstruction (Q2193844) (← links)
- Learning 3D shape completion under weak supervision (Q2226180) (← links)
