Research map / 3D vision / Depth and stereo
Deep Outdoor Illumination Estimation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use CNN-based sun azimuth estimation instead of the Lalonde et al. approach | single-image sun azimuth estimation · 239-image dataset | sun azimuth precision within 45°: improved by approximately 10\% | Helped |
| Use CNN-based estimation rather than Lalonde et al.'s cue-based approach | single-image sun azimuth estimation · 176-image SUN360 test subset | sun azimuth estimation robustness | Helped |
| Fit a physically based sky model to panoramas to provide HDR lighting labels for training | Deep Outdoor Illumination Estimation · outdoor single-image HDR illumination estimation | lighting estimation performance | Helped |
Closest papers by meaning
- LuxDiT: Lighting Estimation with Video Diffusion Transformer (NeurIPS 2025 · similarity 0.86)
- Multi-Level Neural Scene Graphs for Dynamic Urban Environments (CVPR 2024 · similarity 0.84)
- Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections (NeurIPS 2024 · similarity 0.84)
- See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction (NeurIPS 2025 · similarity 0.84)
- Few-Shot Neural Radiance Fields under Unconstrained Illumination (AAAI 2024 · similarity 0.84)
- Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images (AAAI 2024 · similarity 0.84)
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