Apple's Cubify Anything: Scaling Indoor 3D Object Detection

CA-1M and Cubify Anything This repository includes the public implementation of Cubify Transformer and the associated CA-1M dataset. Paper Apple Cubify Anything: Scaling Indoor 3D Object Detection Justin Lazarow, David Griffiths, Gefen Kohavi, Francisco Crespo, Afshin Dehghan CVPR 2025 Repository Overview This repository includes: Links to the underlying data and annotations of the CA-1M dataset. Links to released models of the Cubify Transformer (CuTR) model from the Cubify Anything paper. Basic readers and inference code to run CuTR on the provided data. Basic support for using images captured from own device using the NeRF Capture app. Installation We recommend Python 3.10 and a recent 2.x build of PyTorch. We include a requirements.txt which should encapsulate all necessary dependencies. Please make sure you have torch installed first, e.g.,: pip install torch torchvision Then, within the root of the repository: pip install -r requirements.txt pip install -e . CA-1M ... Read full article.