- Neural Illumination: Lighting Prediction for Indoor Environments
- Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
- Learning Intrinsic Image Decomposition from Watching the World
- Live Illumination Decomposition of Videos
- All-Weather Deep Outdoor Lighting Estimation
- Self-Supervised Intrinsic Image Decomposition
- InverseRenderNet: Learning single image inverse rendering
- Live Intrinsic Video
- Fast Spatially-Varying Indoor Lighting Estimation
- Unsupervised Deep Single-Image Intrinsic Decomposition using Illumination-Varying Image Sequences
- Learning to Separate Multiple Illuminants in a Single Image
- DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
- Shading Annotations in the Wild
- A Dataset of Multi-Illumination Images in the Wild
- Relighting Humans: Occlusion-Aware Inverse Rendering for Full-Body Human Images
- CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering
- Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
- Learning to Estimate Indoor Lighting from 3D Objects
- GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition
- Single Image Intrinsic Decomposition without a Single Intrinsic Image
- Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image
- Revisiting Deep Intrinsic Image Decompositions
- Learning to Predict Indoor Illumination from a Single Image
- Deep Parametric Indoor Lighting Estimation
- OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets
- Intrinsic Images in the Wild
- Intrinsic Decompositions for Image Editing
- Deep Outdoor Illumination Estimation
- Outdoor inverse rendering from a single image using multiview self-supervision
- PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
- A Signal-Processing Framework for Inverse Rendering
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