PhysID: Physics-based Interactive Dynamics from a Single-view Image
Sourabh Vasant Gothe, Ayon Chattopadhyay, Gunturi Venkata Sai Phani Kiran, Pratik, Vibhav Agarwal, Jayesh Rajkumar Vachhani, Sourav Ghosh, Parameswaranath VM, Barath Raj KR

TL;DR
PhysID enables the creation of physics-based interactive dynamics from a single image using generative models and on-device physics engines, advancing mobile AR/VR experiences with minimal manual effort.
Contribution
This work introduces PhysID, a novel framework that generates interactive physics-based 3D models from a single image, reducing the need for expert intervention and enabling real-time mobile applications.
Findings
Effective zero-shot performance of MLLMs on diverse tasks
Successful 3D reconstruction with minimal manual input
Real-time, physics-based rendering on mobile devices
Abstract
Transforming static images into interactive experiences remains a challenging task in computer vision. Tackling this challenge holds the potential to elevate mobile user experiences, notably through interactive and AR/VR applications. Current approaches aim to achieve this either using pre-recorded video responses or requiring multi-view images as input. In this paper, we present PhysID, that streamlines the creation of physics-based interactive dynamics from a single-view image by leveraging large generative models for 3D mesh generation and physical property prediction. This significantly reduces the expertise required for engineering-intensive tasks like 3D modeling and intrinsic property calibration, enabling the process to be scaled with minimal manual intervention. We integrate an on-device physics-based engine for physically plausible real-time rendering with user interactions.…
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