We train RaySt3R by curating a new dataset, for a total of 12 million views 📷 with Objaverse and GSO objects. The ablations 🔍 suggest that more and more diverse data improves RaySt3R's performance. RaySt3R does not require GT meshes, paving the way for training on real-world data.
