Neural Deformation

Neural deformation focuses on using neural networks to model and manipulate the shape and form of objects, primarily in 3D space, aiming for realistic and efficient deformations. Current research emphasizes developing novel architectures, such as neural deformation fields and Gaussian representations, often integrated with other techniques like implicit surfaces or graph convolutional networks, to achieve high-fidelity results for diverse applications. This field is significant for advancing computer graphics, medical imaging (e.g., brain surface reconstruction), and robotics, enabling more accurate and efficient modeling of complex shapes and their dynamic transformations.