Spatially Varying

Spatially varying (SV) phenomena, particularly SV lighting, are a central focus in computer vision and graphics research, aiming to accurately model and reconstruct how illumination changes across a scene. Current research leverages neural radiance fields (NeRFs) and related architectures, often incorporating techniques like octrees and irradiance field modeling, to efficiently estimate and represent SV lighting from various input modalities, including single and multi-view images and panoramic data. This work is crucial for advancing realistic rendering, augmented reality applications, and inverse rendering tasks, enabling more accurate and photorealistic simulations of complex lighting environments.