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Image based relighting using neural networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-33783-3_43openalex-snapshot
Frequency-Space Decomposition and Acquisition of Light Transport under Spatially Varying Illumination
inferredcites →https://doi.org/10.1016/0004-3702(89)90049-0openalex-snapshot
Connectionist learning procedures
inferredcites →https://doi.org/10.1109/72.329697openalex-snapshot
Training feedforward networks with the Marquardt algorithm
inferredcites →https://doi.org/10.1109/dicta.2008.82openalex-snapshot
Neural Network Implementation Using CUDA and OpenMP
inferredcites →https://doi.org/10.1109/ijcnn.1990.137819openalex-snapshot
Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
inferredcites →https://doi.org/10.1109/ijcnn.2003openalex-snapshot
Proceedings of the International Joint Conference on Neural Networks, 2003.
inferredcites →https://doi.org/10.1111/j.1467-8659.2009.01401.xopenalex-snapshot
Compressive Dual Photography
inferredcites →https://doi.org/10.1111/j.1467-8659.2009.01490.xopenalex-snapshot
Fast Global Illumination on Dynamic Height Fields
inferredcites →https://doi.org/10.1117/12.949051openalex-snapshot
Sphereo: Determining Depth Using Two Specular Spheres And A Single Camera
inferredcites →https://doi.org/10.1145/1073204.1073258openalex-snapshot
Performance relighting and reflectance transformation with time-multiplexed illumination
inferredcites →https://doi.org/10.1145/1141911.1141981openalex-snapshot
All-frequency precomputed radiance transfer using spherical radial basis functions and clustered tensor approximation
inferredcites →https://doi.org/10.1145/1201775.882280openalex-snapshot
All-frequency shadows using non-linear wavelet lighting approximation
inferredcites →https://doi.org/10.1145/1201775.882281openalex-snapshot
Clustered principal components for precomputed radiance transfer
inferredcites →https://doi.org/10.1145/1201775.882315openalex-snapshot
Relighting with 4D incident light fields
inferredcites →https://doi.org/10.1145/1243980.1243984openalex-snapshot
Adaptive sampling of reflectance fields
inferredcites →https://doi.org/10.1145/1275808.1276410openalex-snapshot
Matrix row-column sampling for the many-light problem
inferredcites →https://doi.org/10.1145/1275808.1276454openalex-snapshot
A theory of locally low dimensional light transport
inferredcites →https://doi.org/10.1145/1276377.1276410openalex-snapshot
Matrix row-column sampling for the many-light problem
inferredcites →https://doi.org/10.1145/1276377.1276454openalex-snapshot
A theory of locally low dimensional light transport
inferredcites →https://doi.org/10.1145/1477926.1477929openalex-snapshot
Compressive light transport sensing
inferredcites →https://doi.org/10.1145/1531326.1531335openalex-snapshot
Kernel Nyström method for light transport
inferredcites →https://doi.org/10.1145/1866158.1866165openalex-snapshot
Optical computing for fast light transport analysis
inferredcites →https://doi.org/10.1145/1882261.1866165openalex-snapshot
Optical computing for fast light transport analysis
inferredcites →https://doi.org/10.1145/2185520.2185535openalex-snapshot
Primal-dual coding to probe light transport
inferredcites →https://doi.org/10.1145/2461912.2461914openalex-snapshot
Compressive light field photography using overcomplete dictionaries and optimized projections
inferredcites →https://doi.org/10.1145/2461912.2462009openalex-snapshot
Global illumination with radiance regression functions
inferredcites →https://doi.org/10.1145/311535.311558openalex-snapshot
Environment matting and compositing
inferredcites →https://doi.org/10.1145/344779.344855openalex-snapshot
Acquiring the reflectance field of a human face
inferredcites →https://doi.org/10.1145/566570.566612openalex-snapshot
Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments
inferredcites →https://doi.org/10.1145/566654.566612openalex-snapshot
Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments
inferredcites →https://doi.org/10.1145/882262.882280openalex-snapshot
All-frequency shadows using non-linear wavelet lighting approximation
inferredcites →https://doi.org/10.1145/882262.882281openalex-snapshot
Clustered principal components for precomputed radiance transfer
inferredcites →https://doi.org/10.1145/882262.882315openalex-snapshot
Relighting with 4D incident light fields
inferredcites →https://doi.org/10.2312/egwr/egsr04/287-298openalex-snapshot
Smooth Reconstruction and Compact Representation of Reflectance Functions for Image-based Relighting
inferredcites →https://doi.org/10.2312/egwr/egsr04/299-308openalex-snapshot
Progressively-Refined Reflectance Functions from Natural Illumination
inferredcites →https://doi.org/10.2312/egwr/egsr06/251-262openalex-snapshot
Symmetric Photography: Exploiting Data-sparseness in Reflectance Fields
inferredcites →https://doi.org/10.2312/egwr/egwr03/157-166openalex-snapshot
Wavelet Environment Matting
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Computer Graphics Rendering Survey: From Rasterization and Ray Tracing to Deep Learning
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Intelligent Cinematography: a review of AI research for cinematographic production
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Parallel Single-Pixel Imaging: A General Method for Direct–Global Separation and 3D Shape Reconstruction Under Strong Global Illumination
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Perception of noise and global illumination: Toward an automatic stopping criterion based on SVM
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Image-based relighting using image segmentation and bootstrap strategy
inferred← citeshttps://doi.org/10.1016/j.cag.2019.05.007openalex-snapshot
Illumination animating and editing in a single picture using scene structure estimation
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Fast and accurate neural reflectance transformation imaging through knowledge distillation
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.12.101openalex-snapshot
Normalization of face illumination with photorealistic texture via deep image prior synthesis
inferred← citeshttps://doi.org/10.1016/j.visinf.2019.07.003openalex-snapshot
Deep appearance modeling: A survey
inferred← citeshttps://doi.org/10.1016/j.visinf.2022.08.001openalex-snapshot
Interactive lighting editing system for single indoor low-light scene images with corresponding depth maps
inferred← citeshttps://doi.org/10.1080/19401493.2020.1803404openalex-snapshot
Deep neural network approach for annual luminance simulations
inferred← citeshttps://doi.org/10.1080/19401493.2021.2004229openalex-snapshot
A deep convolutional neural network based on U-Net to predict annual luminance maps
inferred← citeshttps://doi.org/10.1109/3dv50981.2020.00124openalex-snapshot
Towards Geometry Guided Neural Relighting with Flash Photography
inferred← citeshttps://doi.org/10.1109/bigmm.2016.47openalex-snapshot
A System to Help Amateurs Take Pictures of Delicious Looking Food
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Two-Shot Spatially-Varying BRDF and Shape Estimation
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00517openalex-snapshot
Learning Physics-Guided Face Relighting Under Directional Light
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00420openalex-snapshot
Relightable Neural Human Assets from Multi-view Gradient Illuminations
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Controllable Light Diffusion for Portraits
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ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects
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Dsrn: an Efficient Deep Network for Image Relighting
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DeepCaustics: Classification and Removal of Caustics From Underwater Imagery
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Handheld Reflectance Acquisition of Paintings
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Indoor Scene Reconstruction Using Near-Light Photometric Stereo
inferred← citeshttps://doi.org/10.1109/tip.2017.2740620openalex-snapshot
Colorization Using Neural Network Ensemble
inferred← citeshttps://doi.org/10.1109/tip.2022.3195366openalex-snapshot
Designing an Illumination-Aware Network for Deep Image Relighting
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SALENet: Structure-Aware Lighting Estimations From a Single Image for Indoor Environments
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Asymmetric Joint GANs for Normalizing Face Illumination From a Single Image
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Adaptive Light Estimation using Dynamic Filtering for Diverse Lighting Conditions
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inferred← citeshttps://doi.org/10.1109/tvcg.2025.3549890openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/cgf.13087openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/cgf.13225openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/cgf.13633openalex-snapshot
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inferred← citeshttps://doi.org/10.1111/cgf.13732openalex-snapshot
State‐of‐the‐art in Multi‐Light Image Collections for Surface Visualization and Analysis
inferred← citeshttps://doi.org/10.1111/cgf.13783openalex-snapshot
Deep‐learning the Latent Space of Light Transport
inferred← citeshttps://doi.org/10.1111/cgf.14283openalex-snapshot
Deep Neural Models for Illumination Estimation and Relighting: A Survey
inferred← citeshttps://doi.org/10.1111/cgf.14392openalex-snapshot
From Noon to Sunset: Interactive Rendering, Relighting, and Recolouring of Landscape Photographs by Modifying Solar Position
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Interactive Relighting in Single Low-Dynamic Range Images
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Detection and characterization of appearance change by imaging and artificial vision for the conservation documentation of cultural heritage metal objects
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