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Lighting Estimation

Lighting Estimation analyzes given images to provide detailed information about the lighting in a scene.

Papers

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Showing 26–50 of 53 papers

TitleStatusHype
Learning to Predict Indoor Illumination from a Single Image—0
EMLight: Lighting Estimation via Spherical Distribution Approximation—0
LightOctree: Lightweight 3D Spatially-Coherent Indoor Lighting Estimation—0
Light Source Estimation with Analytical Path-tracing—0
Accidental Light Probes—0
Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality—0
Deep Sky Modeling for Single Image Outdoor Lighting Estimation—0
Deep Parametric Indoor Lighting Estimation—0
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion—0
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets—0
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets—0
Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement—0
Physically-Based Editing of Indoor Scene Lighting from a Single Image—0
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction—0
Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing—0
CleAR: Robust Context-Guided Generative Lighting Estimation for Mobile Augmented Reality—0
Sparse Needlets for Lighting Estimation with Spherical Transport Loss—0
Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality—0
Spatially-Varying Outdoor Lighting Estimation from Intrinsics—0
Spatiotemporally Consistent HDR Indoor Lighting Estimation—0
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks—0
Specular-to-Diffuse Translation for Multi-View Reconstruction—0
SPIDR: SDF-based Neural Point Fields for Illumination and Deformation—0
A Real-time Method for Inserting Virtual Objects into Neural Radiance Fields—0
A New Dimension in Testimony: Relighting Video with Reflectance Field Exemplars—0
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