Neural 3D Representation

Neural 3D representation aims to create digital 3D models from 2D images or other data, enabling photorealistic rendering and manipulation. Current research focuses on improving efficiency and control, employing architectures like Gaussian Splatting and refining NeRFs (Neural Radiance Fields) through techniques such as diffusion models and incorporating dense depth information for more accurate reconstructions. These advancements are driving progress in robotics, virtual and augmented reality, and other fields requiring accurate and manipulable 3D scene understanding, particularly in scenarios with limited viewpoints or single-image input.