Learning 3D Reconstruction in Function Space
Explore cutting-edge techniques in 3D reconstruction through this comprehensive 50-minute virtual talk given at Oxford. Delve into neural implicit models, including occupancy networks, texture fields, occupancy flow, and differentiable volumetric rendering. Gain insights into recent advancements such as conditional surface light fields, PiFU, convolutional occupancy networks, NeRF, and PointRend. Learn about traditional reconstruction pipelines, model architectures, training methods, mesh extraction, object appearance, and generative modeling. Discover how these techniques apply to object motion, reconstruction from image sequences, and interpolation. Download accompanying slides for a deeper understanding of the presented concepts and their practical applications in the field of 3D reconstruction.