BigTeacher-777/Awesome-Monocular-3D-Detection
A curated paper list tracking monocular 3D object detection research from 2016 to 2024.
Not currently ranked — collecting fresh signals.
star history
This repository maintains an organized collection of academic papers on monocular 3D object detection, a computer vision task that estimates 3D bounding boxes from single images. The list spans publications from major venues including CVPR, NeurIPS, ICCV, and ECCV, covering methods ranging from early architectures to recent diffusion-based approaches. It serves as a reference resource for researchers tracking developments in this subfield.
Frequently asked
- What is BigTeacher-777/Awesome-Monocular-3D-Detection?
- A curated paper list tracking monocular 3D object detection research from 2016 to 2024.
- Is Awesome-Monocular-3D-Detection open source?
- Yes — BigTeacher-777/Awesome-Monocular-3D-Detection is an open-source project tracked on heatdrop.
- How popular is Awesome-Monocular-3D-Detection?
- BigTeacher-777/Awesome-Monocular-3D-Detection has 439 stars on GitHub.
- Where can I find Awesome-Monocular-3D-Detection?
- BigTeacher-777/Awesome-Monocular-3D-Detection is on GitHub at https://github.com/BigTeacher-777/Awesome-Monocular-3D-Detection.