Lighting Estimation
14 papers with code • 0 benchmarks • 0 datasets
Lighting Estimation analyzes given images to provide detailed information about the lighting in a scene.
Benchmarks
These leaderboards are used to track progress in Lighting Estimation
Most implemented papers
Deep Parametric Indoor Lighting Estimation
WinterCyan/Gardner2019
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ICCV 2019
We present a method to estimate lighting from a single image of an indoor scene.
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
pratulsrinivasan/lighthouse
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CVPR 2020
We present a deep learning solution for estimating the incident illumination at any 3D location within a scene from an input narrow-baseline stereo image pair.
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality
cake-lab/PointAR
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ECCV 2020
We propose an efficient lighting estimation pipeline that is suitable to run on modern mobile devices, with comparable resource complexities to state-of-the-art mobile deep learning models.
Deep Lighting Environment Map Estimation from Spherical Panoramas
VCL3D/DeepPanoramaLighting
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We approach this problem differently, exploiting the availability of surface geometry to employ image-based relighting as a data generator and supervision mechanism.
Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing
In this paper, we explore how to use differentiable ray tracing to refine an initial coarse mesh and per-mesh-facet material representation.
GMLight: Lighting Estimation via Geometric Distribution Approximation
fnzhan/Illumination-Estimation
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This paper presents Geometric Mover's Light (GMLight), a lighting estimation framework that employs a regression network and a generative projector for effective illumination estimation.
Xihe: A 3D Vision-based Lighting Estimation Framework for Mobile Augmented Reality
cake-lab/Xihe
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Centering the key idea of 3D vision, in this work, we design an edge-assisted framework called Xihe to provide mobile AR applications the ability to obtain accurate omnidirectional lighting estimation in real time.
NeILF: Neural Incident Light Field for Physically-based Material Estimation
apple/ml-neilf
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We present a differentiable rendering framework for material and lighting estimation from multi-view images and a reconstructed geometry.
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
To tackle this problem, we propose a coupled dual-StyleGAN panorama synthesis network (StyleLight) that integrates LDR and HDR panorama synthesis into a unified framework.
Editable Indoor Lighting Estimation
We present a method for estimating lighting from a single perspective image of an indoor scene.
