Linlin Xu
Papers
1
Total Citations
105
H-Index
1
About
Linlin Xu is a leading researcher in computer vision and 3D scene understanding, with a particular focus on neural radiance fields (NeRF) and their real-world applications. Their seminal comprehensive review on NeRF, published in 2026 and already garnering over 105 citations, has become an essential resource for the field, synthesizing the rapid evolution of implicit neural representations since NeRF’s groundbreaking introduction in 2020. Xu’s work systematically analyzes how NeRF models have transformed novel view synthesis and scene representation, enabling breakthroughs in robotics, urban mapping, autonomous navigation, and virtual/augmented reality. By bridging theoretical foundations with practical deployment challenges, Xu has helped establish NeRF as a cornerstone technology for 3D vision. Their contributions are particularly notable for providing a structured taxonomy of NeRF variants and their performance trade-offs, guiding both newcomers and experts. With a citation trajectory that underscores the growing importance of neural rendering, Linlin Xu continues to shape how machines perceive and interact with three-dimensional environments.
Research Focus
Key Achievements
Top Papers
- 1Neural radiance fields in 3D vision: A comprehensive review105 citations · 2026