What if your robot or car could see depth more clearly than a top-tier RGB-D camera?

Original Tweet

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What if your robot or car could see depth more clearly than a top-tier RGB-D camera?

Researchers from Ant Group present LingBot-Depth.

It treats sensor errors as “masked” clues, using visual context to intelligently fill in and refine incomplete depth maps.

It outperforms leading hardware in both precision and coverage, creating a unified understanding of color and depth for robotics and autonomous driving.

Masked Depth Modeling for Spatial Perception

Project: https://technology.robbyant.com/lingbot-depth HuggingFace: https://huggingface.co/robbyant/lingbot-depth Paper: https://github.com/Robbyant/lingbot-depth/blob/main/tech-report.pdf

Our report: https://mp.weixin.qq.com/s/_pTyp6hwmnLQUEeEzdp2Qw

🔗 원본 링크

• https://huggingface.co/robbyant/lingbot-depth
• https://github.com/Robbyant/lingbot-depth/blob/main/tech-report.pdf
• https://mp.weixin.qq.com/mp/wappoc_appmsgcaptcha?poc_token=HIEVh2mjOAPaU1gRLlIytwGdOxyZguegvBmLKF3O&target_url=https%3A%2F%2Fmp.weixin.qq.com%2Fs%2F_pTyp6hwmnLQUEeEzdp2Qw

미디어

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• lingbot-depth-masked-depth-modeling-for-spatial-perception-941785 — 주제: Depth Estimation
• lingbot-depth-masked-depth-modeling-for-spatial-perception — 주제: Depth Estimation
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Tags

3D-Vision Robotics