RoomLight: A 2.5D Illumination Prior for Indoor Environments
Paper • 2609.28300 • Published
This repository contains the model presented in RoomLight: A 2.5D Illumination Prior for Indoor Environments.
RoomLight is a spatially-aware illumination prior trained on real-world indoor panoramas and their estimated depth. The variational autoencoder model learns a compact, optimizable latent space that decodes into HDR radiance and depth, parameterizing an area light emitter for direct integration into standard differentiable rendering pipelines.