Computer Vision News Computer Vision News 6 Ava is firmly convinced that this can open new directions. Taking the custom furniture generation example again, it is a harder problem than just making something stable - because someone has to sit on it and it has to be strong enough to hold their weight. Same thing for architecture. It has to be extremely stable; so that it's very bad if your chair collapses, but it's even worse if a house falls down. “These are definitely very exciting avenues to explore”, Ava remarks. “Even though our model is tested and trained on these Lego toy bricks, the project isn't really about just Lego bricks. The project is about extending this to general buildability and stability, trying to make generative AI that puts things that can work in the real world. It's way more than just Lego!” NOTE: this article was published before the announcement of the award winners. Which explains why it does not mention being a winning paper. Once again, we placed our bets on the right horse! Congratulations to Ava and team for the brilliant win! And to the other winning papers too! Best Paper ICCV 2025!!!
RkJQdWJsaXNoZXIy NTc3NzU=