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RoomLight: A 2.5D Illumination Prior for Indoor Environments

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.

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Paper for andreead-a/RoomLight