LingBot-Depth 2.0 Tackles Transparent Object Depth Estimation
JaynitMakwana · x · 2026-07-07
The author notes that many depth benchmarks succeed in controlled environments, but the real challenge lies in how robots perform when facing surfaces like windows, mirrors, and reflective materials.
Because of this, the depth estimation results achieved by LingBot-Depth 2.0 on transparent objects caught their attention.
Related event: Ant Robbyant Open-Sources LingBot Vision Models, Topping Depth Benchmarks(18 posts)→
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