Space Based Deformation Technique

Space-based deformation techniques aim to realistically model and manipulate the shape of objects in 3D space, focusing on achieving accurate and intuitive deformations. Current research emphasizes learning-based approaches, employing neural networks to improve upon traditional methods like moving least squares, often incorporating physics-based constraints or diffusion models to enhance realism and control. These advancements are impacting fields like computer graphics, animation, and medical imaging, enabling more accurate 3D object reconstruction from videos, improved image editing and retargeting, and more realistic mesh deformations for virtual characters and simulations.