Holistic Inverse Rendering of Complex Facade via Aerial 3D Scanning

arXiv:2311.11825v2 Announce Type: replace
Abstract: In this work, we use multi-view aerial images to reconstruct the geometry, lighting, and material of facades using neural signed distance fields (SDFs). Without the requirement of complex equipment, our method only takes simple RGB images captured by a drone as inputs to enable physically based and photorealistic novel-view rendering, relighting, and editing. However, a real-world facade usually has complex appearances ranging from diffuse rocks with subtle details to large-area glass windows with specular reflections, …

3d scanning abstract aerial arxiv cs.cv cs.gr drone equipment fields geometry images inputs inverse rendering lighting material rendering simple type via view work