Feb 11, 2021 · We aim to infer 3D shape and pose of object from a single image and propose a learning-based approach that can train from unstructured image collections.
We aim to infer 3D shape and pose from a single image and propose a learning-based approach that can train from unstructured image collections, ...
We aim to infer 3D shape and pose of object from a single image and propose a learning-based approach that can train from unstructured image collections, ...
Shelf-supervised Mesh Prediction in the wild ... We aim to infer 3D shape and pose from a single image and are able to train the system with only image ...
Shelf-Supervised Mesh Prediction in the Wild - CVF Open Access
openaccess.thecvf.com › content › html
We aim to infer 3D shape and pose of objects from a single image and propose a learning-based approach that can train from unstructured image collections, ...
We aim to infer 3D shape and pose of object from a single image and propose a learning-based approach that can train from unstructured image collections, ...
Shelf-Supervised Mesh Prediction in the Wild (more results). Yufei Ye Shubham Tulsiani Abhinav Gupta · Carnegie Mellon University Facebook AI Research.
We aim to infer 3D shape and pose of object from a single image and propose a learning-based approach that can train from unstructured image collections.
Feb 11, 2021 · We examine the method on both synthetic and real-world datasets and demonstrate its scalability on 50 categories in the wild, an order of ...
Feb 11, 2021 · This work proposes a learning-based approach that can train from unstructured image collections, supervised by only segmentation outputs from off-the-shelf ...