Computer Vision News Computer Vision News 2 Best Paper ICCV 2025 Most generative AI techniques focus on generating things for the digital world. For example, text, images and videos and digital 3D models. But what Ava and co-authors wanted to do was to bring generative AI into the physical world, not the digital world. They wanted to generate objects that could actually be built from pre-made pieces in real life. And once they're built in real life, they could stand up and be stable. Ava Pun is a second year PhD student at Carnegie Mellon University, under the supervision of Jun-Yan Zhu. With Kangle Deng - bottom left - and Ruixuan Liu - bottom right, Ava is also the shared first author of a great paper, which won the Best Paper award at ICCV 2025 ☺ Ahead of her oral and poster presentations, Ava told us more about this work. Generating Physically Stable and Buildable Brick Structures from Text This interview was conducted before the ICCV 2025 awards were known. Yes, we guessed again.
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