  In real-world road scenes, diverse material properties lead to complex light
reflection phenomena, making accurate color reproduction crucial for enhancing
the realism and safety of simulated driving environments. However, existing
methods often struggle to capture the full spectrum of lighting effects,
particularly in dynamic scenarios where viewpoint changes induce significant
material color variations. To address this challenge, we introduce NieR
(Normal-Based Lighting Scene Rendering), a novel framework that takes into
account the nuances of light reflection on diverse material surfaces, leading
to more precise rendering. To simulate the lighting synthesis process, we
present the LD (Light Decomposition) module, which captures the lighting
reflection characteristics on surfaces. Furthermore, to address dynamic
lighting scenes, we propose the HNGD (Hierarchical Normal Gradient
Densification) module to overcome the limitations of sparse Gaussian
representation. Specifically, we dynamically adjust the Gaussian density based
on normal gradients. Experimental evaluations demonstrate that our method
outperforms state-of-the-art (SOTA) methods in terms of visual quality and
exhibits significant advantages in performance indicators. Codes are available
at https://wanghongsheng01.github.io/NieR/.
