The field of robotic surface manipulation and 3D content generation is experiencing significant advancements, with a focus on developing innovative methods for shape control, texture generation, and part-level editing. Researchers are exploring the use of auxetic materials, latent diffusion models, and Gaussian processes to create more flexible and adaptable systems. Notable papers in this area include Reconfigurable Auxetic Devices, which demonstrates a novel approach to robotic surface manipulation using reconfigurable auxetic lattices, and SplatFont3D, which proposes a structure-aware text-to-3D artistic font generation framework. KeyPointDiffuser and GaussianBlender also show promising results in unsupervised 3D keypoint learning and instant stylization of 3D Gaussians, respectively.