A Survey on Neural Radiance Fields
Yun Liao, Yide Di, Hao Zhou et al.
2025 · ACM Computing Surveys · 3 citations
View synthesis is a fundamental task in computer vision, known for its significantly higher complexity compared to conventional vision problems. The introduction of Neural Radiance Fields (NeRF) marked a major breakthrough in this field, substantially improving previous methods and pushing view synthesis to unprecedented levels. This survey aims at systematically reviewing the progress of NeRF-based models in computer vision. We begin by explaining the core principles underlying the success of NeRF. Then, we delve into and analyze seven representative NeRF-based representation forms, includin…
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