Based Inverse Rendering

Based inverse rendering (BIR) aims to reconstruct a 3D scene's geometry, materials, and lighting from 2D images, leveraging physics-based rendering models. Current research focuses on improving the accuracy and efficiency of these models, addressing challenges like discontinuous visibility and indirect illumination through techniques such as volumetric representations, multi-bounce path tracing with reservoir sampling, and incorporating neural radiance fields (NeRFs) for more realistic lighting. These advancements enable more accurate scene reconstruction and facilitate applications like scene editing, relighting, and material editing, impacting fields such as computer graphics, computer vision, and virtual/augmented reality.