Explore a 20-minute conference talk on the discovery of latent 3D keypoints through end-to-end geometric reasoning. Delve into the KeypointNet framework, including its goals, setup, and architecture. Learn about multi-view consistency loss, relative pose estimation loss, and the importance of keypoints. Examine quantitative and qualitative results, including failure cases and ablation studies. Understand how this semi-supervised approach combines keypoint and geometry learning networks, outperforming supervised methods. Gain insights into additional testing and proof-of-concept applications for this innovative technique in 3D computer vision.