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Neural Importance Sampling
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-91436-7_9openalex-snapshot
Learning Light Transport the Reinforced Way
inferredcites →https://doi.org/10.1007/978-3-642-87825-1_11openalex-snapshot
Bidirectional Estimators for Light Transport
inferredcites →https://doi.org/10.1007/978-3-7091-9430-0_2openalex-snapshot
A 5D Tree to Reduce the Variance of Monte Carlo Ray Tracing
inferredcites →https://doi.org/10.1007/978-3-7091-9430-0_31openalex-snapshot
Importance Driven Path Tracing using the Photon Map
inferredcites →https://doi.org/10.1016/b978-0-12-394424-5.00002-1openalex-snapshot
Combinational Logic Design
inferredcites →https://doi.org/10.1016/j.matcom.2019.01.010openalex-snapshot
Integral equations and machine learning
inferredcites →https://doi.org/10.1109/iccv.2015.425openalex-snapshot
Deep Learning Face Attributes in the Wild
inferredcites →https://doi.org/10.1109/rt.2006.280224openalex-snapshot
Global Importance Sampling of Glossy Surfaces Using the Photon Map
inferredcites →https://doi.org/10.1109/rt.2008.4634630openalex-snapshot
Towards interactive global illumination effects via sequential Monte Carlo adaptation
inferredcites →https://doi.org/10.1111/1467-8659.00703openalex-snapshot
A Simple and Robust Mutation Strategy for the Metropolis Light Transport Algorithm
inferredcites →https://doi.org/10.1111/cgf.12950openalex-snapshot
Product Importance Sampling for Light Transport Path Guiding
inferredcites →https://doi.org/10.1111/cgf.13227openalex-snapshot
Practical Path Guiding for Efficient Light‐Transport Simulation
inferredcites →https://doi.org/10.1111/cgf.13628openalex-snapshot
Learning to Importance Sample in Primary Sample Space
inferredcites →https://doi.org/10.1111/j.1467-8659.2008.01247.xopenalex-snapshot
Sequential Monte Carlo Adaptation in Low‐Anisotropy Participating Media
inferredcites →https://doi.org/10.1145/2024156.2024193openalex-snapshot
Adaptive sampling and reconstruction using greedy error minimization
inferredcites →https://doi.org/10.1145/2070781.2024193openalex-snapshot
Adaptive sampling and reconstruction using greedy error minimization
inferredcites →https://doi.org/10.1145/218380.218498openalex-snapshot
Optimally combining sampling techniques for Monte Carlo rendering
inferredcites →https://doi.org/10.1145/2601097.2601138openalex-snapshot
Multiplexed metropolis light transport
inferredcites →https://doi.org/10.1145/2601097.2601203openalex-snapshot
On-line learning of parametric mixture models for light transport simulation
inferredcites →https://doi.org/10.1145/3197517.3201340openalex-snapshot
Bayesian online regression for adaptive direct illumination sampling
inferredcites →https://doi.org/10.1145/584458.584476openalex-snapshot
Importance sampling with hemispherical particle footprints
inferredcites →https://doi.org/10.2312/sre.20181171openalex-snapshot
A Unified Manifold Framework for Efficient BRDF Sampling based on Parametric Mixture Models
inferredcites →https://doi.org/10.2312/sre.20181174openalex-snapshot
Primary Sample Space Path Guiding
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN（Generative Adversarial Nets）
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1410.8516openalex-snapshot
NICE: Non-linear Independent Components Estimation
inferredcites →https://doi.org/10.48550/arxiv.1502.03509openalex-snapshot
MADE: Masked Autoencoder for Distribution Estimation
inferredcites →https://doi.org/10.48550/arxiv.1505.05770openalex-snapshot
Variational Inference with Normalizing Flows
inferredcites →https://doi.org/10.48550/arxiv.1601.06759openalex-snapshot
Pixel Recurrent Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1605.08803openalex-snapshot
Density Estimation Using Real NVP
inferredcites →https://doi.org/10.48550/arxiv.1609.03499openalex-snapshot
WaveNet: A Generative Model for Raw Audio
inferredcites →https://doi.org/10.48550/arxiv.1611.03824openalex-snapshot
Learning to Learn without Gradient Descent by Gradient Descent
inferredcites →https://doi.org/10.48550/arxiv.1707.08358openalex-snapshot
Notes on optimal approximations for importance sampling
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-58558-7_45openalex-snapshot
Invertible Neural BRDF for Object Inverse Rendering
inferred← citeshttps://doi.org/10.1007/978-3-030-86523-8_1openalex-snapshot
Deep Conditional Transformation Models
inferred← citeshttps://doi.org/10.1007/978-3-030-98319-2_7openalex-snapshot
Massively Parallel Path Space Filtering
inferred← citeshttps://doi.org/10.1007/978-3-031-43415-0_30openalex-snapshot
Posterior Consistency for Missing Data in Variational Autoencoders
inferred← citeshttps://doi.org/10.1007/978-3-031-43996-4_5openalex-snapshot
Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues
inferred← citeshttps://doi.org/10.1007/978-3-031-50072-5_15openalex-snapshot
Enhanced Direct Lighting Using Visibility-Aware Light Sampling
inferred← citeshttps://doi.org/10.1007/978-3-031-73021-4_19openalex-snapshot
O$$ _{2}$$V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation
inferred← citeshttps://doi.org/10.1007/978-3-031-73390-1_2openalex-snapshot
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering
inferred← citeshttps://doi.org/10.1007/978-3-032-37032-7_18openalex-snapshot
Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction
inferred← citeshttps://doi.org/10.1007/978-3-032-37461-5_35openalex-snapshot
Gaussian Volumetric Representation for Efficient Shear-Warp Visualization
inferred← citeshttps://doi.org/10.1007/978-981-92-0071-9_13openalex-snapshot
Reducing Estimation Uncertainty Using Normalizing Flows and Stratification
inferred← citeshttps://doi.org/10.1007/978-981-95-9507-5_17openalex-snapshot
VidDPOK: Aligning Text-to-Video Generation with Human Preferences via Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/jhep03(2024)083openalex-snapshot
Accelerating HEP simulations with Neural Importance Sampling
inferred← citeshttps://doi.org/10.1007/jhep09(2025)194openalex-snapshot
Sampling NNLO QCD phase space with normalizing flows
inferred← citeshttps://doi.org/10.1007/s00371-025-03955-0openalex-snapshot
Batch Specular Manifold Sampling for caustics rendering
inferred← citeshttps://doi.org/10.1007/s00530-026-02658-3openalex-snapshot
CV-SLAM: coupling vision-enhancement for NeRF-based RGB-D SLAM
inferred← citeshttps://doi.org/10.1007/s00778-023-00808-xopenalex-snapshot
Cardinality estimation using normalizing flow
inferred← citeshttps://doi.org/10.1007/s00780-024-00549-xopenalex-snapshot
Importance sampling for option pricing with feedforward neural networks
inferred← citeshttps://doi.org/10.1007/s10915-023-02396-yopenalex-snapshot
A Machine Learning Framework for Geodesics Under Spherical Wasserstein–Fisher–Rao Metric and Its Application for Weighted Sample Generation
inferred← citeshttps://doi.org/10.1007/s10994-024-06623-xopenalex-snapshot
Normalizing flow sampling with Langevin dynamics in the latent space
inferred← citeshttps://doi.org/10.1007/s11044-024-09993-1openalex-snapshot
Anomalously acting agents: the deployment problem
inferred← citeshttps://doi.org/10.1007/s11432-024-4541-9openalex-snapshot
Artificial intelligence for virtual reality: a review
inferred← citeshttps://doi.org/10.1007/s41095-020-0160-1openalex-snapshot
A practical path guiding method for participating media
inferred← citeshttps://doi.org/10.1007/s42979-020-00291-zopenalex-snapshot
Online Path Sampling Control with Progressive Spatio-temporal Filtering
inferred← citeshttps://doi.org/10.1007/s42985-021-00102-xopenalex-snapshot
Solving high-dimensional Hamilton–Jacobi–Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space
inferred← citeshttps://doi.org/10.1016/j.anucene.2022.108974openalex-snapshot
Normalizing flows for thermal scattering sampling
inferred← citeshttps://doi.org/10.1016/j.cag.2021.06.008openalex-snapshot
Large-scale ray traced water caustics in real-time using cascaded caustic maps
inferred← citeshttps://doi.org/10.1016/j.cag.2021.11.003openalex-snapshot
Product path guiding with semi-adaptive spatio-directional tree
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.cag.2024.103945openalex-snapshot
Path guiding for wavefront path tracing: A memory efficient approach for GPU path tracers
inferred← citeshttps://doi.org/10.1016/j.cag.2025.104472openalex-snapshot
Importance Sampling Guided Neural Radiosity
inferred← citeshttps://doi.org/10.1016/j.cpc.2020.107376openalex-snapshot
VegasFlow: Accelerating Monte Carlo simulation across multiple hardware platforms
inferred← citeshttps://doi.org/10.1016/j.cviu.2026.104808openalex-snapshot
HL-SLAM: Hybrid optimization and loop scene correction for NeRF-SLAM
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122017openalex-snapshot
Powered stochastic optimization with hypergradient descent for large-scale learning systems
inferred← citeshttps://doi.org/10.1016/j.imavis.2023.104718openalex-snapshot
Dictionary-enabled efficient training of ConvNets for image classification
inferred← citeshttps://doi.org/10.1016/j.jcp.2023.112155openalex-snapshot
Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization
inferred← citeshttps://doi.org/10.1016/j.jcp.2023.112430openalex-snapshot
Learning an optimised stable Taylor-Galerkin convection scheme based on a local spectral model for the numerical error dynamics
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2025.121614openalex-snapshot
Highly accelerated whole-brain T2 mapping using non-cartesian acquisition and model-based implicit neural representation reconstruction
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112034openalex-snapshot
EC-SLAM: Effectively constrained neural RGB-D SLAM with TSDF hash encoding and joint optimization
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112493openalex-snapshot
Learning hierarchical uncertainty from hybrid representations for neural active reconstruction
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112558openalex-snapshot
NeB-SLAM: Neural blocks-based salable RGB-D SLAM for unknown scenes
inferred← citeshttps://doi.org/10.1016/j.pecs.2021.100955openalex-snapshot
Classification and computation of extreme events in turbulent combustion
inferred← citeshttps://doi.org/10.1016/j.ppnp.2023.104084openalex-snapshot
Exploring QCD matter in extreme conditions with Machine Learning
inferred← citeshttps://doi.org/10.1016/j.ress.2023.109729openalex-snapshot
REIN: Reliability Estimation via Importance sampling with Normalizing flows
inferred← citeshttps://doi.org/10.1017/dce.2023.4openalex-snapshot
Uniform-in-phase-space data selection with iterative normalizing flows
inferred← citeshttps://doi.org/10.1021/acs.analchem.3c01132openalex-snapshot
Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV–vis and Near-Infrared Spectroscopy without Information Loss
inferred← citeshttps://doi.org/10.1021/acs.jcim.1c01438openalex-snapshot
Accurate Sampling of Macromolecular Conformations Using Adaptive Deep Learning and Coarse-Grained Representation
inferred← citeshttps://doi.org/10.1021/acs.jctc.2c00254openalex-snapshot
LINES: Log-Probability Estimation via Invertible Neural Networks for Enhanced Sampling
inferred← citeshttps://doi.org/10.1021/acs.jctc.3c00487openalex-snapshot
Prediction of the Peptide–TIM3 Binding Site in Inhibiting TIM3–Galectin 9 Binding Pathways
inferred← citeshttps://doi.org/10.1021/acs.jpclett.4c00161openalex-snapshot
Enhanced Sampling for Conformational Changes and Molecular Mechanisms of Human NTHL1
inferred← citeshttps://doi.org/10.1038/s41534-025-01159-xopenalex-snapshot
Generative flow-based warm start of the variational quantum eigensolver
inferred← citeshttps://doi.org/10.1038/s42254-023-00616-wopenalex-snapshot
Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics
inferred← citeshttps://doi.org/10.1038/s42254-024-00798-xopenalex-snapshot
Physics-driven learning for inverse problems in quantum chromodynamics
inferred← citeshttps://doi.org/10.1049/cvi2.70061openalex-snapshot
On the Reliability of Likelihoods From Conditional Flow Matching Generative Models Trained in Feature Space
inferred← citeshttps://doi.org/10.1051/0004-6361/202142018openalex-snapshot
Bayesian Stokes inversion with normalizing flows
inferred← citeshttps://doi.org/10.1063/5.0018903openalex-snapshot
Targeted free energy estimation via learned mappings
inferred← citeshttps://doi.org/10.1080/10618600.2023.2175688openalex-snapshot
Distilling Importance Sampling for Likelihood Free Inference
inferred← citeshttps://doi.org/10.1088/1361-651x/ac7f4bopenalex-snapshot
Free energy calculation of crystalline solids using normalizing flows
inferred← citeshttps://doi.org/10.1088/2058-9565/ad5866openalex-snapshot
Multi-variable integration with a variational quantum circuit
inferred← citeshttps://doi.org/10.1088/2632-2153/abab62openalex-snapshot
i- flow: High-dimensional integration and sampling with normalizing flows
inferred← citeshttps://doi.org/10.1088/2632-2153/ac6b16openalex-snapshot
Normalizing flows for atomic solids
inferred← citeshttps://doi.org/10.1088/2632-2153/ac9455openalex-snapshot
Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows
inferred← citeshttps://doi.org/10.1088/2632-2153/addbc1openalex-snapshot
Flow annealed importance sampling bootstrap meets differentiable particle physics
inferred← citeshttps://doi.org/10.1088/2632-2153/ae1acbopenalex-snapshot
End-to-end optimal detector design with mutual information surrogates
inferred← citeshttps://doi.org/10.1088/2632-2153/ae37c9openalex-snapshot
Neural importance resampling: a practical sampling strategy for neural quantum states
inferred← citeshttps://doi.org/10.1093/gji/ggab298openalex-snapshot
Bayesian seismic tomography using normalizing flows
inferred← citeshttps://doi.org/10.1103/8wx7-kyx8openalex-snapshot
Deep Generative Modeling of the Canonical Ensemble with Differentiable Thermal Properties
inferred← citeshttps://doi.org/10.1103/j71d-h5w2openalex-snapshot
Efficient many-jet event generation with flow matching
inferred← citeshttps://doi.org/10.1103/jt6y-h375openalex-snapshot
Monte Carlo Event Generation with Continuous Normalizing Flows
inferred← citeshttps://doi.org/10.1103/kpc8-cj7popenalex-snapshot
Training neural control variates using correlated configurations
inferred← citeshttps://doi.org/10.1103/physrevd.101.076002openalex-snapshot
Event generation with normalizing flows
inferred← citeshttps://doi.org/10.1103/physrevd.101.113001openalex-snapshot
Likelihood-free inference of experimental neutrino oscillations using neural spline flows
inferred← citeshttps://doi.org/10.1103/physrevd.102.013003openalex-snapshot
Exhaustive neural importance sampling applied to Monte Carlo event generation
inferred← citeshttps://doi.org/10.1103/physrevd.104.094507openalex-snapshot
Efficient modeling of trivializing maps for lattice ϕ4 theory using normalizing flows: A first look at scalability
inferred← citeshttps://doi.org/10.1103/physrevlett.126.032001openalex-snapshot
Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models
inferred← citeshttps://doi.org/10.1103/physrevlett.127.062701openalex-snapshot
Normalizing Flows for Microscopic Many-Body Calculations: An Application to the Nuclear Equation of State
inferred← citeshttps://doi.org/10.1103/physrevlett.130.171403openalex-snapshot
Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference
inferred← citeshttps://doi.org/10.1103/physrevresearch.3.l042024openalex-snapshot
Unbiased Monte Carlo cluster updates with autoregressive neural networks
inferred← citeshttps://doi.org/10.1103/rzml-rjxzopenalex-snapshot
Bayesian analysis of a ( 3 + 1 ) D hybrid approach with initial conditions from hadronic transport
inferred← citeshttps://doi.org/10.1103/xk1z-fxnmopenalex-snapshot
Rapid inference and comparison of gravitational-wave population models with neural variational posteriors
inferred← citeshttps://doi.org/10.1107/s2059798325002025openalex-snapshot
InstaMap: instant-NGP for cryo-EM density maps
inferred← citeshttps://doi.org/10.1109/access.2022.3178519openalex-snapshot
Feature Based Sampling: A Fast and Robust Sampling Method for Tasks Using 3D Point Cloud
inferred← citeshttps://doi.org/10.1109/cei63587.2024.10871565openalex-snapshot
Detection of All Dynamic Objects in Neural SLAM with Local Voxel Map
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01224openalex-snapshot
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01277openalex-snapshot
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02038openalex-snapshot
NARUTO: Neural Active Reconstruction from Uncertain Target Observations
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00665openalex-snapshot
PeanutNeRF: 3D Radiance Field for Peanuts
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888218openalex-snapshot
Learning Two-factor Representation for Magnetic Resonance Image Super-resolution
inferred← citeshttps://doi.org/10.1109/iccp56966.2022.10053972openalex-snapshot
aSDF: Reconstructing Real-Time Signed Distance Fields with Enhanced Attention
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00986openalex-snapshot
On the Robustness of Normalizing Flows for Inverse Problems in Imaging
inferred← citeshttps://doi.org/10.1109/icde65448.2025.00208openalex-snapshot
Federated Data Analytics with Differentially Private Density Estimation Model
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9560749openalex-snapshot
Real-Time Mesh Extraction from Implicit Functions via Direct Reconstruction of Decision Boundary
inferred← citeshttps://doi.org/10.1109/icra55743.2025.11127308openalex-snapshot
DVN-SLAM: Dynamic Visual Neural Slam Based on Local-Global Encoding
inferred← citeshttps://doi.org/10.1109/icra55743.2025.11127551openalex-snapshot
HS-SLAM: Hybrid Representation with Structural Supervision for Improved Dense SLAM
inferred← citeshttps://doi.org/10.1109/infocom59046.2026.11571192openalex-snapshot
Sequence-Model-Based Joint CSI Feedback and Dynamic Multiuser Precoding for FDD Massive MIMO Systems
inferred← citeshttps://doi.org/10.1109/iros58592.2024.10801913openalex-snapshot
Active Neural Mapping at Scale
inferred← citeshttps://doi.org/10.1109/iros58592.2024.10802442openalex-snapshot
DDS-SLAM: Dense Semantic Neural SLAM for Deformable Endoscopic Scenes
inferred← citeshttps://doi.org/10.1109/iros58592.2024.10802747openalex-snapshot
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations
inferred← citeshttps://doi.org/10.1109/iros58592.2024.10803056openalex-snapshot
DNS-SLAM: Dense Neural Semantic-Informed SLAM
inferred← citeshttps://doi.org/10.1109/iros60139.2025.11246937openalex-snapshot
SDF-guided Keyframe Selection: Novel Boost for NeRF SLAM Loop Closure
inferred← citeshttps://doi.org/10.1109/iros60139.2025.11247532openalex-snapshot
Inspection Planning Primitives with Implicit Models
inferred← citeshttps://doi.org/10.1109/ispp69262.2026.11542858openalex-snapshot
Detail-Preserving Open Surface Reconstruction via Error-Guided Sampling and Normal Consistency
inferred← citeshttps://doi.org/10.1109/jsen.2025.3585133openalex-snapshot
DyMoSLAM: Improving Dynamic Monocular SLAM With Neural Scene Representation
inferred← citeshttps://doi.org/10.1109/lra.2022.3219019openalex-snapshot
Learning Stable Vector Fields on Lie Groups
inferred← citeshttps://doi.org/10.1109/lra.2024.3440729openalex-snapshot
Rapid-Mapping: LiDAR-Visual Implicit Neural Representations for Real-Time Dense Mapping
inferred← citeshttps://doi.org/10.1109/lra.2026.3656771openalex-snapshot
HERE: Hierarchical Active Exploration of Radiance Field With Epistemic Uncertainty Minimization
inferred← citeshttps://doi.org/10.1109/tai.2025.3584900openalex-snapshot
Constrained Gaussian Splatting via Implicit TSDF Hash Grid for Dense RGB-D SLAM
inferred← citeshttps://doi.org/10.1109/tmi.2024.3388559openalex-snapshot
Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane
inferred← citeshttps://doi.org/10.1109/tmm.2026.3651044openalex-snapshot
SNH-SLAM: Implicit Dense SLAM Based on Scalable Neural-Hash Representation
inferred← citeshttps://doi.org/10.1109/tpami.2020.2992934openalex-snapshot
Normalizing Flows: An Introduction and Review of Current Methods
inferred← citeshttps://doi.org/10.1109/tpami.2021.3116668openalex-snapshot
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
inferred← citeshttps://doi.org/10.1109/tpami.2021.3129537openalex-snapshot
Invertible Neural BRDF for Object Inverse Rendering
inferred← citeshttps://doi.org/10.1109/tro.2026.3666139openalex-snapshot
How NeRFs and 3-D Gaussian Splatting Are Reshaping SLAM: A Survey
inferred← citeshttps://doi.org/10.1109/tste.2022.3191330openalex-snapshot
Continuous and Distribution-Free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach
inferred← citeshttps://doi.org/10.1109/tvcg.2022.3209963openalex-snapshot
Neural Global Illumination: Interactive Indirect Illumination Prediction Under Dynamic Area Lights
inferred← citeshttps://doi.org/10.1109/tvcg.2023.3274595openalex-snapshot
Hypothesis Testing for Progressive Kernel Estimation and VCM Framework
inferred← citeshttps://doi.org/10.1109/tvcg.2023.3293121openalex-snapshot
Interactive Volume Visualization via Multi-Resolution Hash Encoding Based Neural Representation
inferred← citeshttps://doi.org/10.1109/tvcg.2023.3327107openalex-snapshot
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination
inferred← citeshttps://doi.org/10.1109/tvcg.2024.3367431openalex-snapshot
Fast Non-Rigid Radiance Fields From Monocularized Data
inferred← citeshttps://doi.org/10.1109/tvcg.2026.3691565openalex-snapshot
NRRS: Neural Russian Roulette and Splitting
inferred← citeshttps://doi.org/10.1109/wacv61041.2025.00287openalex-snapshot
Neural Graph Map: Dense Mapping with Efficient Loop Closure Integration
inferred← citeshttps://doi.org/10.1111/cgf.14051openalex-snapshot
Practical Product Path Guiding Using Linearly Transformed Cosines
inferred← citeshttps://doi.org/10.1111/cgf.14058openalex-snapshot
Can't Invert the CDF? The Triangle‐Cut Parameterization of the Region under the Curve
inferred← citeshttps://doi.org/10.1111/cgf.14060openalex-snapshot
Practical Product Sampling by Fitting and Composing Warps
inferred← citeshttps://doi.org/10.1111/cgf.14139openalex-snapshot
Two‐stage Resampling for Bidirectional Path Tracing with Multiple Light Sub‐paths
inferred← citeshttps://doi.org/10.1111/cgf.142626openalex-snapshot
Neural Acceleration of Scattering‐Aware Color 3D Printing
inferred← citeshttps://doi.org/10.1111/cgf.14347openalex-snapshot
Optimised Path Space Regularisation
inferred← citeshttps://doi.org/10.1111/cgf.14378openalex-snapshot
ReSTIR GI: Path Resampling for Real‐Time Path Tracing
inferred← citeshttps://doi.org/10.1111/cgf.14427openalex-snapshot
Dynamic Diffuse Global Illumination Resampling
inferred← citeshttps://doi.org/10.1111/cgf.14428openalex-snapshot
Path Guiding Using Spatio‐Directional Mixture Models
inferred← citeshttps://doi.org/10.1111/cgf.14449openalex-snapshot
NeRF‐Tex: Neural Reflectance Field Textures
inferred← citeshttps://doi.org/10.1111/cgf.14582openalex-snapshot
Path Guiding with Vertex Triplet Distributions
inferred← citeshttps://doi.org/10.1111/cgf.14675openalex-snapshot
Real‐time Deep Radiance Reconstruction from Imperfect Caches
inferred← citeshttps://doi.org/10.1111/cgf.14883openalex-snapshot
NEnv: Neural Environment Maps for Global Illumination
inferred← citeshttps://doi.org/10.1111/cgf.14885openalex-snapshot
Neural Free‐Viewpoint Relighting for Glossy Indirect Illumination
inferred← citeshttps://doi.org/10.1111/cgf.14895openalex-snapshot
Accelerating Hair Rendering by Learning High‐Order Scattered Radiance
inferred← citeshttps://doi.org/10.1111/cgf.14962openalex-snapshot
DAFNet: Generating Diverse Actions for Furniture Interaction by Learning Conditional Pose Distribution
inferred← citeshttps://doi.org/10.1111/cgf.15014openalex-snapshot
Real‐time Neural Rendering of Dynamic Light Fields
inferred← citeshttps://doi.org/10.1111/cgf.15049openalex-snapshot
Enhancing Spatiotemporal Resampling with a Novel MIS Weight
inferred← citeshttps://doi.org/10.1111/cgf.15117openalex-snapshot
VolTeMorph: Real‐time, Controllable and Generalizable Animation of Volumetric Representations
inferred← citeshttps://doi.org/10.1111/cgf.15158openalex-snapshot
Neural SSS: Lightweight Object Appearance Representation
inferred← citeshttps://doi.org/10.1111/cgf.15264openalex-snapshot
Efficient Environment Map Rendering Based on Decomposition
inferred← citeshttps://doi.org/10.1111/cgf.70050openalex-snapshot
Neural Two‐Level Monte Carlo Real‐Time Rendering
inferred← citeshttps://doi.org/10.1111/cgf.70164openalex-snapshot
A Data‐Driven Approach to Analytical Dwivedi Guiding
inferred← citeshttps://doi.org/10.1111/cgf.70275openalex-snapshot
Geometric Integration for Neural Control Variates
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.70539openalex-snapshot
One‐more‐vertex Next‐Event Estimation with Hierarchical Geometry Sampling
inferred← citeshttps://doi.org/10.1115/1.4070207openalex-snapshot
Langevin Bifidelity Importance Sampling for Failure Probability Estimation
inferred← citeshttps://doi.org/10.1137/21m1450604openalex-snapshot
Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint
inferred← citeshttps://doi.org/10.1137/22m1529427openalex-snapshot
Energetic Variational Neural Network Discretizations of Gradient Flows
inferred← citeshttps://doi.org/10.1137/23m1579091openalex-snapshot
Bounded KRnet and Its Applications to Density Estimation and Approximation
inferred← citeshttps://doi.org/10.1140/epjc/s10052-024-13284-6openalex-snapshot
Systematic evaluation of generative machine learning capability to simulate distributions of observables at the large hadron collider
inferred← citeshttps://doi.org/10.1145/3230635openalex-snapshot
Volume Path Guiding Based on Zero-Variance Random Walk Theory
inferred← citeshttps://doi.org/10.1145/3306346.3322974openalex-snapshot
A learned shape-adaptive subsurface scattering model
inferred← citeshttps://doi.org/10.1145/3386569.3392421openalex-snapshot
Robust fitting of parallax-aware mixtures for path guiding
inferred← citeshttps://doi.org/10.1145/3386569.3392475openalex-snapshot
Compositional neural scene representations for shading inference
inferred← citeshttps://doi.org/10.1145/3414685.3417830openalex-snapshot
Discovering pattern structure using differentiable compositing
inferred← citeshttps://doi.org/10.1145/3450626.3459793openalex-snapshot
Interactive Monte Carlo denoising using affinity of neural features
inferred← citeshttps://doi.org/10.1145/3450626.3459810openalex-snapshot
Hierarchical neural reconstruction for path guiding using hybrid path and photon samples
inferred← citeshttps://doi.org/10.1145/3450626.3459812openalex-snapshot
Real-time neural radiance caching for path tracing
inferred← citeshttps://doi.org/10.1145/3450626.3459876openalex-snapshot
Weakly-supervised contrastive learning in path manifold for Monte Carlo image reconstruction
inferred← citeshttps://doi.org/10.1145/3450627openalex-snapshot
Primary-space Adaptive Control Variates Using Piecewise-polynomial Approximations
inferred← citeshttps://doi.org/10.1145/3476124.3488639openalex-snapshot
Light Source Selection in Primary-Sample-Space Neural Photon Sampling
inferred← citeshttps://doi.org/10.1145/3476576.3476580openalex-snapshot
Interactive Monte Carlo denoising using affinity of neural features
inferred← citeshttps://doi.org/10.1145/3476828openalex-snapshot
Photon-Driven Neural Reconstruction for Path Guiding
inferred← citeshttps://doi.org/10.1145/3478513.3480561openalex-snapshot
Learning to cluster for rendering with many lights
inferred← citeshttps://doi.org/10.1145/3490385openalex-snapshot
A Compact Representation of Measured BRDFs Using Neural Processes
inferred← citeshttps://doi.org/10.1145/3522735openalex-snapshot
Active Exploration for Neural Global Illumination of Variable Scenes
inferred← citeshttps://doi.org/10.1145/3528223.3530080openalex-snapshot
Efficient estimation of boundary integrals for path-space differentiable rendering
inferred← citeshttps://doi.org/10.1145/3528223.3530127openalex-snapshot
Instant neural graphics primitives with a multiresolution hash encoding
inferred← citeshttps://doi.org/10.1145/3528223.3530158openalex-snapshot
Generalized resampled importance sampling
inferred← citeshttps://doi.org/10.1145/3528233.3530730openalex-snapshot
Self-Supervised Post-Correction for Monte Carlo Denoising
inferred← citeshttps://doi.org/10.1145/3581783.3612022openalex-snapshot
AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion
inferred← citeshttps://doi.org/10.1145/3588432.3591524openalex-snapshot
NeuSample: Importance Sampling for Neural Materials
inferred← citeshttps://doi.org/10.1145/3588432.3591533openalex-snapshot
Neural Parametric Mixtures for Path Guiding
inferred← citeshttps://doi.org/10.1145/3588432.3591543openalex-snapshot
Focal Path Guiding for Light Transport Simulation
inferred← citeshttps://doi.org/10.1145/3592398openalex-snapshot
Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions
inferred← citeshttps://doi.org/10.1145/3610548.3618141openalex-snapshot
Neural Caches for Monte Carlo Partial Differential Equation Solvers
inferred← citeshttps://doi.org/10.1145/3610548.3618243openalex-snapshot
Example-Based Sampling with Diffusion Models
inferred← citeshttps://doi.org/10.1145/3629166openalex-snapshot
Decorrelating ReSTIR Samplers via MCMC Mutations
inferred← citeshttps://doi.org/10.1145/3641817openalex-snapshot
NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks
inferred← citeshttps://doi.org/10.1145/3649310openalex-snapshot
Online Neural Path Guiding with Normalized Anisotropic Spherical Gaussians
inferred← citeshttps://doi.org/10.1145/3658133openalex-snapshot
Conditional Mixture Path Guiding for Differentiable Rendering
inferred← citeshttps://doi.org/10.1145/3658203openalex-snapshot
Real-Time Path Guiding Using Bounding Voxel Sampling
inferred← citeshttps://doi.org/10.1145/3669754.3669798openalex-snapshot
HFN-SLAM:Hybrid Scene Neural Representation SLAM Based on Frame Alignment and Normal Consistency
inferred← citeshttps://doi.org/10.1145/3680528.3687566openalex-snapshot
Neural Product Importance Sampling via Warp Composition
inferred← citeshttps://doi.org/10.1145/3680528.3687684openalex-snapshot
BSDF importance sampling using a diffusion model
inferred← citeshttps://doi.org/10.1145/3680528.3687685openalex-snapshot
Dynamic Neural Radiosity with Multi-grid Decomposition
inferred← citeshttps://doi.org/10.1145/3680528.3687687openalex-snapshot
Efficient Neural Path Guiding with 4D Modeling
inferred← citeshttps://doi.org/10.1145/3721238.3730593openalex-snapshot
Guiding-Based Importance Sampling for Walk on Stars
inferred← citeshttps://doi.org/10.1145/3721238.3730608openalex-snapshot
Guided Lens Sampling for Efficient Monte Carlo Circle-of-Confusion Rendering
inferred← citeshttps://doi.org/10.1145/3721238.3730679openalex-snapshot
Neural BRDF Importance Sampling by Reparameterization
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