Mesh Deformation

Mesh deformation research focuses on efficiently and realistically altering 3D mesh shapes, driven by various inputs like images, text, or other meshes. Current efforts concentrate on developing novel algorithms and architectures, including those based on diffusion models, graph neural networks, and optimal transport, to achieve accurate, plausible deformations while maintaining computational efficiency. These advancements are crucial for applications ranging from 3D modeling and animation to medical image analysis and virtual reality, improving the realism and ease of manipulation of digital 3D objects. The field is seeing a convergence of traditional geometric methods with deep learning techniques to create more robust and versatile deformation tools.