Researchers have developed World2Minecraft, a system that converts real-world scenes into structured Minecraft environments by predicting 3D semantic occupancy. This allows for downstream tasks like Vision-Language Navigation within these reconstructed scenes. To improve reconstruction quality, a new data acquisition pipeline and the large-scale MinecraftOcc dataset were created, featuring over 100,000 images from 156 indoor scenes. Additionally, a separate project, Dream-Cubed, introduces a large dataset of Minecraft worlds and models trained on billions of cubes for efficient, controllable generation of interactive 3D environments. AI
影响 Enables more realistic and customizable simulation environments for embodied AI research and 3D generative modeling.
排序理由 The cluster contains two arXiv papers detailing new methods and datasets for generating and reconstructing 3D environments within Minecraft.
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