fuenwang/BiFusev2
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation
This project helps researchers working with 360-degree cameras generate detailed depth maps from panoramic images. It takes a single 360-degree image as input and outputs a corresponding depth map, indicating the distance of objects from the camera. This is ideal for computer vision researchers, robotics engineers, or anyone building virtual environments who needs accurate spatial understanding from omnidirectional imagery.
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Use this if you need to extract precise depth information from 360-degree panoramic photos for tasks like 3D reconstruction or environmental perception.
Not ideal if you are working with standard perspective images (non-360 photos) or if your primary goal is object detection or classification rather than depth estimation.
Stars
72
Forks
6
Language
Python
License
MIT
Category
Last pushed
May 08, 2025
Commits (30d)
0
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