3D Shape Representation

3D shape representation focuses on efficiently and accurately encoding three-dimensional objects for various applications, such as rendering, generation, and manipulation. Current research emphasizes implicit neural representations, particularly neural radiance fields (NeRFs) and signed distance functions (SDFs), often enhanced by techniques like spatial adversaries, multi-view consistency, and hypernetworks to improve learning from sparse data and enable efficient rendering. These advancements are driving progress in areas like 3D object editing, generation from single images, and robust object tracking, impacting fields ranging from computer graphics and robotics to augmented and virtual reality.