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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
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
Indoor Lighting Estimation Using an Event Camera—0
OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets—0
Xihe: A 3D Vision-based Lighting Estimation Framework for Mobile Augmented RealityCode1
Spatially-Varying Outdoor Lighting Estimation from Intrinsics—0
A New Dimension in Testimony: Relighting Video with Reflectance Field Exemplars—0
GMLight: Lighting Estimation via Geometric Distribution ApproximationCode1
EMLight: Lighting Estimation via Spherical Distribution Approximation—0
Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path TracingCode1
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 Lighting Environment Map Estimation from Spherical PanoramasCode1
PointAR: Efficient Lighting Estimation for Mobile Augmented RealityCode1
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent IlluminationCode1
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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