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Neural BTF Compression and Interpolation

https://doi.org/10.1111/cgf.13633
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01219-9_5openalex-snapshot
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image
inferredcites →https://doi.org/10.1007/978-3-319-10578-9_11openalex-snapshot
Material Classification Based on Training Data Synthesized Using a BTF Database
inferredcites →https://doi.org/10.1007/bf00332918openalex-snapshot
Auto-association by multilayer perceptrons and singular value decomposition
inferredcites →https://doi.org/10.1016/j.cag.2013.06.006openalex-snapshot
Interactive high fidelity visualization of complex materials on the GPU
inferredcites →https://doi.org/10.1016/j.cag.2018.06.001openalex-snapshot
An efficient method for specular-enhanced BTF compression
inferredcites →https://doi.org/10.1109/iccv.2019.00882openalex-snapshot
Deep Appearance Maps
inferredcites →https://doi.org/10.1109/tpami.2007.1139openalex-snapshot
Extreme Compression and Modeling of Bidirectional Texture Function
inferredcites →https://doi.org/10.1109/tpami.2008.246openalex-snapshot
Bidirectional Texture Function Modeling: A State of the Art Survey
inferredcites →https://doi.org/10.1109/tpami.2010.211openalex-snapshot
Modeling Bidirectional Texture Functions with Multivariate Spherical Radial Basis Functions
inferredcites →https://doi.org/10.1109/tvcg.2014.2312016openalex-snapshot
Effects of Approximate Filtering on the Appearance of Bidirectional Texture Functions
inferredcites →https://doi.org/10.1111/cgf.13230openalex-snapshot
Fiber‐Level On‐the‐Fly Procedural Textiles
inferredcites →https://doi.org/10.1111/j.1467-8659.2009.01432.xopenalex-snapshot
g‐BRDFs: An Intuitive and Editable BTF Representation
inferredcites →https://doi.org/10.1111/j.1467-8659.2009.01495.xopenalex-snapshot
BTF Compression via Sparse Tensor Decomposition
inferredcites →https://doi.org/10.1111/j.1467-8659.2009.01585.xopenalex-snapshot
Bidirectional Texture Function Compression Based on Multi‐Level Vector Quantization
inferredcites →https://doi.org/10.1111/j.1467-8659.2011.01890.xopenalex-snapshot
A Sparse Parametric Mixture Model for BTF Compression, Editing and Rendering
inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1145/1053427.1053458openalex-snapshot
Level-of-detail representation of bidirectional texture functions for real-time rendering
inferredcites →https://doi.org/10.1145/1073204.1073224openalex-snapshot
Out-of-core tensor approximation of multi-dimensional matrices of visual data
inferredcites →https://doi.org/10.1145/1141911.1141949openalex-snapshot
Inverse shade trees for non-parametric material representation and editing
inferredcites →https://doi.org/10.1145/1409060.1409091openalex-snapshot
A psychophysically validated metric for bidirectional texture data reduction
inferredcites →https://doi.org/10.1145/2461912.2462009openalex-snapshot
Global illumination with radiance regression functions
inferredcites →https://doi.org/10.1145/2766899openalex-snapshot
Image based relighting using neural networks
inferredcites →https://doi.org/10.1145/300776.300778openalex-snapshot
Reflectance and texture of real-world surfaces
inferredcites →https://doi.org/10.1145/3072959.3073641openalex-snapshot
Modeling surface appearance from a single photograph using self-augmented convolutional neural networks
inferredcites →https://doi.org/10.1145/3197517.3201279openalex-snapshot
Efficient reflectance capture using an autoencoder
inferredcites →https://doi.org/10.1145/3197517.3201307openalex-snapshot
Gaussian material synthesis
inferredcites →https://doi.org/10.1145/3197517.3201313openalex-snapshot
Deep image-based relighting from optimal sparse samples
inferredcites →https://doi.org/10.1145/3197517.3201378openalex-snapshot
Single-image SVBRDF capture with a rendering-aware deep network
inferredcites →https://doi.org/10.1145/3197517.3201401openalex-snapshot
Deep appearance models for face rendering
inferredcites →https://doi.org/10.1145/3203192openalex-snapshot
Deep Surface Light Fields
inferredcites →https://doi.org/10.1145/383259.383309openalex-snapshot
Unstructured lumigraph rendering
inferredcites →https://doi.org/10.1145/566654.566634openalex-snapshot
Synthesis of bidirectional texture functions on arbitrary surfaces
inferredcites →https://doi.org/10.1561/2200000006openalex-snapshot
Learning Deep Architectures for AI
inferredcites →https://doi.org/10.1561/9781601982957openalex-snapshot
Learning Deep Architectures for AI
inferredcites →https://doi.org/10.2312/vast/vast05/013-020openalex-snapshot
Rapid Synchronous Acquisition of Geometry and Appearance of Cultural Heritage Artefacts

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-58452-8_24openalex-snapshot
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
inferred← citeshttps://doi.org/10.1007/978-3-031-25056-9_17openalex-snapshot
On-the-Go Reflectance Transformation Imaging with Ordinary Smartphones
inferred← citeshttps://doi.org/10.1007/978-3-031-73116-7_5openalex-snapshot
Hypernetworks for Generalizable BRDF Representation
inferred← citeshttps://doi.org/10.1007/s00371-020-01910-9openalex-snapshot
Neural reflectance transformation imaging
inferred← citeshttps://doi.org/10.1016/j.cag.2023.06.018openalex-snapshot
NeuBTF: Neural fields for BTF encoding and transfer
inferred← citeshttps://doi.org/10.1016/j.visinf.2019.07.003openalex-snapshot
Deep appearance modeling: A survey
inferred← citeshttps://doi.org/10.1088/1742-6596/1880/1/012034openalex-snapshot
Multi-scene Representation Learning with Neural Radiance Fields
inferred← citeshttps://doi.org/10.1109/3dv62453.2024.00068openalex-snapshot
Hyper-SNBRDF: Hypernetwork for Neural BRDF Using Sinusoidal Activation
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00843openalex-snapshot
NeX: Real-time View Synthesis with Neural Basis Expansion
inferred← citeshttps://doi.org/10.1109/iccp48838.2020.9105256openalex-snapshot
Per-Image Super-Resolution for Material BTFs
inferred← citeshttps://doi.org/10.1109/tpami.2022.3217957openalex-snapshot
NeX360: Real-Time All-Around View Synthesis With Neural Basis Expansion
inferred← citeshttps://doi.org/10.1109/tvcg.2021.3133081openalex-snapshot
Neural Photometry-Guided Visual Attribute Transfer
inferred← citeshttps://doi.org/10.1109/tvcg.2025.3596146openalex-snapshot
TransGI: Real-Time Dynamic Global Illumination With Object-Centric Neural Transfer Model
inferred← citeshttps://doi.org/10.1109/tvcg.2026.3687578openalex-snapshot
Neural Enhancement of Analytical Appearance Models
inferred← citeshttps://doi.org/10.1109/wacv61041.2025.00181openalex-snapshot
On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches
inferred← citeshttps://doi.org/10.1111/cgf.13782openalex-snapshot
Learned Fitting of Spatially Varying BRDFs
inferred← citeshttps://doi.org/10.1111/cgf.13921openalex-snapshot
Unified Neural Encoding of BTFs
inferred← citeshttps://doi.org/10.1111/cgf.14022openalex-snapshot
State of the Art on Neural Rendering
inferred← citeshttps://doi.org/10.1111/cgf.14057openalex-snapshot
Photorealistic Material Editing Through Direct Image Manipulation
inferred← citeshttps://doi.org/10.1111/cgf.14335openalex-snapshot
Neural BRDF Representation and Importance Sampling
inferred← citeshttps://doi.org/10.1111/cgf.14449openalex-snapshot
NeRF‐Tex: Neural Reflectance Field Textures
inferred← citeshttps://doi.org/10.1111/cgf.14480openalex-snapshot
Neural Precomputed Radiance Transfer
inferred← citeshttps://doi.org/10.1111/cgf.14754openalex-snapshot
Learning to Learn and Sample BRDFs
inferred← citeshttps://doi.org/10.1111/cgf.14781openalex-snapshot
A Semi‐Procedural Convolutional Material Prior
inferred← citeshttps://doi.org/10.1111/cgf.14846openalex-snapshot
MesoGAN: Generative Neural Reflectance Shells
inferred← citeshttps://doi.org/10.1111/cgf.15037openalex-snapshot
Predicting Perceived Gloss: Do Weak Labels Suffice?
inferred← citeshttps://doi.org/10.1111/cgf.15116openalex-snapshot
A Hierarchical Architecture for Neural Materials
inferred← citeshttps://doi.org/10.1111/cgf.70286openalex-snapshot
BRDF Importance Baking: A Lightweight Neural Solution to Importance Sampling General Parametric BRDFs
inferred← citeshttps://doi.org/10.1111/cgf.70318openalex-snapshot
Real‐Time Neural Materials on Mobile VR
inferred← citeshttps://doi.org/10.1111/cgf.70500openalex-snapshot
Physically Based Neural BRDF: A Framework for Physically Correct Material Reconstruction, Generation and Editing
inferred← citeshttps://doi.org/10.1111/cgf.70540openalex-snapshot
A Hybrid Neural‐Microfacet BRDF Model for Real‐Time Rendering
inferred← citeshttps://doi.org/10.1145/3355089.3356525openalex-snapshot
Learning generative models for rendering specular microgeometry
inferred← citeshttps://doi.org/10.1145/3414685.3417821openalex-snapshot
Light stage super-resolution
inferred← citeshttps://doi.org/10.1145/3450626.3459795openalex-snapshot
NeuMIP
inferred← citeshttps://doi.org/10.1145/3450626.3459798openalex-snapshot
Neural complex luminaires
inferred← citeshttps://doi.org/10.1145/3470470openalex-snapshot
Towards Tangible Cultural Heritage Experiences—Enriching VR-based Object Inspection with Haptic Feedback
inferred← citeshttps://doi.org/10.1145/3476576.3476763openalex-snapshot
NeuMIP
inferred← citeshttps://doi.org/10.1145/3507915openalex-snapshot
Constant-Cost Spatio-Angular Prefiltering of Glinty Appearance Using Tensor Decomposition
inferred← citeshttps://doi.org/10.1145/3528233.3530721openalex-snapshot
Rendering Neural Materials on Curved Surfaces
inferred← citeshttps://doi.org/10.1145/3528233.3530732openalex-snapshot
Neural Layered BRDFs
inferred← citeshttps://doi.org/10.1145/3533427openalex-snapshot
A Sparse Non-parametric BRDF Model
inferred← citeshttps://doi.org/10.1145/3546940openalex-snapshot
SpongeCake: A Layered Microflake Surface Appearance Model
inferred← citeshttps://doi.org/10.1145/3550082.3564188openalex-snapshot
Neural Bidirectional Texture Function Compression and Rendering
inferred← citeshttps://doi.org/10.1145/3550454.3555458openalex-snapshot
Metappearance
inferred← citeshttps://doi.org/10.1145/3550454.3555487openalex-snapshot
MIPNet
inferred← citeshttps://doi.org/10.1145/3581783.3612356openalex-snapshot
P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments
inferred← citeshttps://doi.org/10.1145/3588432.3591505openalex-snapshot
Neural Biplane Representation for BTF Rendering and Acquisition
inferred← citeshttps://doi.org/10.1145/3593428openalex-snapshot
Exploiting Local Shape and Material Similarity for Effective SV-BRDF Reconstruction from Sparse Multi-Light Image Collections
inferred← citeshttps://doi.org/10.1145/3593798openalex-snapshot
Ultra-High Resolution SVBRDF Recovery from a Single Image
inferred← citeshttps://doi.org/10.1145/3618365openalex-snapshot
MetaLayer: A Meta-Learned BSDF Model for Layered Materials
inferred← citeshttps://doi.org/10.1145/3658173openalex-snapshot
ZeroGrads: Learning Local Surrogates for Non-Differentiable Graphics
inferred← citeshttps://doi.org/10.1145/3659577openalex-snapshot
Real-time Neural Appearance Models
inferred← citeshttps://doi.org/10.1145/3670947.3670954openalex-snapshot
HMK-CTA: A Hierarchical Multidimensional Representation for Visual Datasets
inferred← citeshttps://doi.org/10.1145/3680528.3687578openalex-snapshot
A Dynamic By-example BTF Synthesis Scheme
inferred← citeshttps://doi.org/10.1145/3721238.3730626openalex-snapshot
Towards Comprehensive Neural Materials: Dynamic Structure-Preserving Synthesis with Accurate Silhouette at Instant Inference Speed
inferred← citeshttps://doi.org/10.1145/3721238.3730679openalex-snapshot
Neural BRDF Importance Sampling by Reparameterization
inferred← citeshttps://doi.org/10.1145/3721238.3730746openalex-snapshot
Generative Neural Materials
inferred← citeshttps://doi.org/10.1145/3757374.3771447openalex-snapshot
Improving Angular Parameterization for Compact Neural Materials
inferred← citeshttps://doi.org/10.1145/3757377.3763853openalex-snapshot
Hyperspectral Polarimetric BRDFs of Real-world Materials
inferred← citeshttps://doi.org/10.1145/3757377.3763901openalex-snapshot
Spectral Prefiltering of Neural Fields
inferred← citeshttps://doi.org/10.1145/3799902.3811190openalex-snapshot
VideoNeuMat: Neural Material Extraction from Generative Video Models
inferred← citeshttps://doi.org/10.1145/3799902.3811231openalex-snapshot
Taming optimization variance in compact neural shading networks
inferred← citeshttps://doi.org/10.24132/jwscg.2023.8openalex-snapshot
Real-time Light Estimation and Neural Soft Shadows for AR Indoor Scenarios
inferred← citeshttps://doi.org/10.4018/ijcvip.331386openalex-snapshot
Acquisition and Application of Reflectance for Computer-Generated Images
inferred← citeshttps://doi.org/10.48550/arxiv.1910.13921openalex-snapshot
Neural View-Interpolation for Sparse Light Field Video
inferred← citeshttps://doi.org/10.48550/arxiv.2003.08934openalex-snapshot
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
inferred← citeshttps://doi.org/10.48550/arxiv.2006.03427openalex-snapshot
Learning Neural Light Transport
inferred← citeshttps://doi.org/10.48550/arxiv.2008.03824openalex-snapshot
Neural Reflectance Fields for Appearance Acquisition
inferred← citeshttps://doi.org/10.48550/arxiv.2010.08888openalex-snapshot
Light Stage Super-Resolution: Continuous High-Frequency Relighting
inferred← citeshttps://doi.org/10.48550/arxiv.2104.02789openalex-snapshot
NeuMIP: Multi-Resolution Neural Materials
inferred← citeshttps://doi.org/10.48550/arxiv.2111.03797openalex-snapshot
Neural BRDFs: Representation and Operations
inferred← citeshttps://doi.org/10.48550/arxiv.2111.15552openalex-snapshot
NeuSample: Neural Sample Field for Efficient View Synthesis
inferred← citeshttps://doi.org/10.5121/csit.2022.1205openalex-snapshot
Artificial Intelligence and Applications
inferred← citeshttps://doi.org/10.5121/csit.2022.120505openalex-snapshot
BTF Prediction Model using Unsupervised Learning
inferred← citeshttps://doi.org/10.70675/8b66e1d8z5adcz4c22z927az98788bdb07b6openalex-snapshot
Learning radiance fields : from global illumination to generative models
inferred← citeshttps://doi.org/10.70675/8ce1e31dz6ef3z4848zabb5z6fa4f3eac274openalex-snapshot
Morphing and level-of-detail operators for interactive digital material design and rendering
inferred← citeshttps://doi.org/10.70675/c93f6d50zd220z4079z8598zc5626f4f9287openalex-snapshot
Lightweight material acquisition using deep learning
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