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Point-Cloud Completion with Pretrained Text-to-image Diffusion Models
paper page: https://t.co/AVwq8BQssZ
Point-cloud data collected in real-world applications are often incomplete. Data is typically missing due to objects being observed from partial viewpoints, which only capture a specific... See more

1/6 New paper! “The Geometry of Concepts: Sparse Autoencoder Feature Structure.” We find that the concept universe of SAE features has interesting structure at three levels: 1) “atomic” small-scale, 2) “brain” intermediate-scale, and 3) “galaxy” large-scale! https://t.co/tvJ6Gspf1y