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BEVCalib
cisl-hf/BEVCalib
BEVCalib is a depth estimation model from cisl-hf. Use it for the depth estimation task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
[](https://arxiv.org/abs/2506.02587) [](https://cisl.ucr.edu/BEVCalib) [](https://github.com/UCR-CISL/BEVCalib)
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Repo size
781 MB
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.md2 KB · 57%
At a glance
- Task
- Depth Estimation
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jun 6, 2025
- Updated
- Aug 2, 2025
- SHA
- ca9bb4b0
Model card
From the Hugging Face model README
[CoRL 2025] BEVCalib: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representation
Introduction
🚗 This model card is for BEVCALIB: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representations.
🚀 All training and inference code are open-sourced now! Please visit the project page and the Github repo for details.
💬 We welcome feedback and look forward to your comments!
Download
To download the checkpoints, use the following script.
huggingface-cli download cisl-hf/BEVCalib --revision CKPT_VERSION --local-dir YOUR_LOCAL_PATH
Related links
🌐 Website: https://cisl.ucr.edu/BEVCalib/
💻 Github: https://github.com/UCR-CISL/BEVCalib
📄 Arxiv: https://arxiv.org/abs/2506.02587
- Task
- Depth Estimation
- Library
- pytorch
- License
- mit
- Created
- Jun 6, 2025
- Updated
- Aug 2, 2025