Transparent Object Detection
3 papers with code • 0 benchmarks • 2 datasets
Detecting transparent objects in 2D or 3D
These leaderboards are used to track progress in Transparent Object Detection
To address these challenges, we present ClearGrasp -- a deep learning approach for estimating accurate 3D geometry of transparent objects from a single RGB-D image for robotic manipulation.
SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications
In particular, these synthetic datasets omit features such as refraction, dispersion and caustics due to limitations in the rendering pipeline.