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. Ava is also the shared first author (with Kangle Deng and Ruixuan Liu) of a great paper, which was accepted at ICCV as an oral and a candidate for which won the Best Paper award at ICCV 2025 ☺ Ahead of her oral and poster presentations today, Ava tells us more about this work. Generating Physically Stable and Buildable Brick Structures from Text 4 DAILY ICCV Wednesday Best Paper ICCV 2025!!! This interview was conducted before the ICCV 2025 awards were known Kangle Deng Ruixuan Liu
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