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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
SPIDR: SDF-based Neural Point Fields for Illumination and Deformation—0
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion—0
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated ImagesCode0
Physically-Based Editing of Indoor Scene Lighting from a Single Image—0
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks—0
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction—0
Spatially and color consistent environment lighting estimation using deep neural networks for mixed reality—0
Sparse Needlets for Lighting Estimation with Spherical Transport Loss—0
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets—0
Indoor Lighting Estimation Using an Event Camera—0
Spatially-Varying Outdoor Lighting Estimation from Intrinsics—0
A New Dimension in Testimony: Relighting Video with Reflectance Field Exemplars—0
EMLight: Lighting Estimation via Spherical Distribution Approximation—0
Learning Illumination from Diverse Portraits—0
What is Learned in Deep Uncalibrated Photometric Stereo?—0
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets—0
Deep Parametric Indoor Lighting Estimation—0
Deep Parametric Indoor Lighting EstimationCode0
All-Weather Deep Outdoor Lighting Estimation—0
Fast Spatially-Varying Indoor Lighting Estimation—0
Inverse Path Tracing for Joint Material and Lighting Estimation—0
Deep Sky Modeling for Single Image Outdoor Lighting Estimation—0
Inverse Path Tracing for Joint Material and Lighting Estimation—0
Specular-to-Diffuse Translation for Multi-View Reconstruction—0
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces—0
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