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Found 4 papers, 2 papers with code
Bilateral Propagation Network for Depth Completion
Depth completion aims to derive a dense depth map from sparse depth measurements with a synchronized color image.
ImageManip: Image-based Robotic Manipulation with Affordance-guided Next View Selection
This framework is designed to capture multiple perspectives of the target object and infer depth information to complement its geometry.
Learning Multi-Object Positional Relationships via Emergent Communication
The study of emergent communication has been dedicated to interactive artificial intelligence.
End-to-End Affordance Learning for Robotic Manipulation
Such contact prediction process then leads to an end-to-end affordance learning framework that can generalize over different types of manipulation tasks.
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