Dening Lu

Papers

Total Citations

105

H-Index

About

Dening Lu is a leading researcher at the forefront of 3D computer vision, with a primary focus on neural scene representation and novel view synthesis. His most influential work, the comprehensive review "Neural Radiance Fields in 3D Vision" (2026, 105 citations), has become an essential resource for the field, systematically cataloging the rapid evolution of Neural Radiance Fields (NeRF) since their groundbreaking introduction in 2020. This review not only synthesizes NeRF's core principles—implicit neural networks for scene representation—but also maps their transformative impact across robotics, urban mapping, autonomous navigation, and virtual/augmented reality. By providing a structured taxonomy of NeRF variants and their applications, Lu's work has accelerated research adoption and inspired new directions in 3D understanding. His contributions are particularly notable for bridging theoretical foundations with practical deployment challenges, making complex concepts accessible to both newcomers and seasoned researchers. With his review already serving as a cornerstone reference, Lu continues to shape how the field approaches implicit 3D representations, solidifying his reputation as a key synthesizer and innovator in modern computer vision.