In recent years, we've seen the rise of foundational 3D models. For example, DUSt3R. “We don't need any assumptions,” says Lojze, “nor any prior knowledge about the images. You just take the images, you put it inside the model, you get a 3D reconstruction. This enables a bunch of tasks that were previously separate studied tasks. This work builds on top of that, and we ask ourselves the question, can we enrich these models with semantic knowledge?”. 12 DAILY ICCV Tuesday Poster Presentation PanSt3R: Multi-view Consistent Panoptic Segmentation Lojze Zust is a research scientist at NAVER LABS Europe, working in the Geometric deep learning team with Vincent Leroy, Jérôme Revaud and Gabriela Csurka. His paper has been selected as a poster at ICCV 2025. Ahead of his poster presentation today, Lojze tells us more about his work.
RkJQdWJsaXNoZXIy NTc3NzU=