This repository aggregates multiple research papers, datasets, and code repositories focused on holistic 3D reconstruction within computer vision. The content is organized into categories such as scene understanding, object-level reconstruction, and geometric modeling.
Use Cases
- Find benchmark datasets for training 3D reconstruction models using the 'data' section.
- Retrieve official implementations of research papers via the 'code' links to establish baselines.
- Survey the state-of-the-art in holistic 3D vision by reviewing the categorized 'papers' list.
Strengths
- Includes direct links to GitHub repositories and project pages for reproducible 3D vision research.
- Categorizes resources into specific sub-fields like 'data', 'code', and 'papers'.
- Covers diverse aspects of 3D reconstruction including both scene-level and object-level approaches.