Advancing Color Management iN Neural Radiance Fields

In the exploration of color management within Neural Radiance Fields (NeRFs), this study bridges the gap between the photorealism of computer graphics and the consistency of color perception across varying devices and lighting conditions. Acknowledging the transformative impact of NeRFs in digital imagery, the research confronts the challenge of advanced color management by harnessing deep learning to render intricate details with high fidelity. The study de-ploys a range of digital cameras, profiling their color responses using sophisticated software, to inform the rendering process of NeRFs, ensuring an accurate representation of real world colors. The methodology includes the meticulous selection of cameras based on sensor characteristics,
resolution, and color sensitivity, followed by the calibration against standardized color charts. Scene composition and image capture are tailored to encompass a spectrum of colors, and the captured data serve as input for the NeRF processing, which undergoes training with a customized algorithm to fine-tune color interpretation. The results are indicative of the value of camera profiling, showing a marked improvement in color accuracy, particularly in high dynamic range (HDR) scenarios. Across different cameras and lighting conditions, the NeRF renders with pro-filed inputs yielded significantly lower Delta E values, suggesting closer alignment with the ac
tual scenes. Conclusively, the integration of camera profiling into NeRFs enhances the realism of digital representations, promising applications in various domains where color precision is paramount. The study underscores the need for further optimization to address the computation-al demands introduced by camera profiling and points to potential future synergies with AI and machine learning to streamline the process. The findings establish a foundation for ongoing advancements in digital rendering, aiming for even greater levels of color accuracy and user immersion in computer graphics.