3D Object Super-Resolution

3D Object Super-Resolution is a task in the field of computer vision that aims to enhance the resolution of 3D objects through upsampling techniques, generating more detailed and high-fidelity 3D models. This task is of significant value for improving visual quality and data accuracy in applications such as virtual reality, autonomous driving, and medical imaging.