The decoupling of Multi-Layer Perceptrons (MLPs) for RGB and thermal modalities in ThermoNeRF has a significant impact on its overall performance. By using separate MLPs for each modality to estimate color information from RGB inputs independently from temperature information derived from thermal inputs, ThermoNeRF ensures that temperature estimates remain unaffected by color variations present in the scene geometry captured by RGB images. This decoupling enhances accuracy in both temperature estimation as well as reconstruction quality while preserving geometric details across both sensor modalities without contamination or bias introduced by joint optimization within a single MLP.