3 Computer Vision News speed in these tasks and is robust to in-the-wild scenarios and scenes with unknown overlap. This finding opens up exciting possibilities to unlock potential in fields like graphic design, architectural modeling, XR/VR experiences, and even the construction industry. The ultimate goal is to move toward a gradient reality, where spaces are designed with user needs in mind, fostering immersive connectivity, communication, and interaction on a global scale. This work is the first step toward that goal using semantic reasoning and aligning 3D scenes using a semantic meaning. The journey to develop SGAligner has not been without its challenges. From a technical standpoint, Sayan tells us formulating the project and navigating the complexities of generating and aligning scene graphs was difficult. “We wanted to be inspired by the language domain and then applied a similar setting in our computer vision problems,” he explains. “That was one challenge figuring it out. The second part was understanding and visualizing which sorts of potential real-life applications we could plug into, and understanding the practicality and how to make this whole module very lightweight so that it is privacy-aware and can be easily shared among people.” SGAligner
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