Diffusion Models for Object Modeling from Noisy Ambient Data

This research explores a novel approach to object modeling by integrating diffusion models with noisy ambient measurements. The work's potential lies in its applicability to scenarios where data acquisition is challenging, opening doors for innovative sensing solutions.

• •Focuses on using diffusion models for object modeling.
• •Addresses the challenge of noisy data in object recognition.
• •Integrates ambient measurements into the modeling process.