2026
Learning to Transform: Unifying Latent Geometric Shape and Appearance Representations in Healthcare Imaging
AAAI 2026technical
Recent advances in deep neural networks have highlighted the importance of geometric shape in various image analysis and computer vision tasks. However, most current approaches rely on coarse or simplified shape representations, such as binary masks, meshes, or point clouds, that are primarily desig