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07/28/2023
Quasi-Monte Carlo Algorithms (not only) for Graphics Software
Quasi-Monte Carlo methods have become the industry standard in computer ...
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03/20/2023
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling
Sionna is a GPU-accelerated open-source library for link-level simulatio...
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02/27/2023
Generator Matrices by Solving Integer Linear Programs
In quasi-Monte Carlo methods, generating high-dimensional low discrepanc...
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07/29/2022
Graph Neural Networks for Channel Decoding
In this work, we propose a fully differentiable graph neural network (GN...
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07/12/2022
Rendering along the Hilbert Curve
Based on the seminal work on Array-RQMC methods and rank-1 lattice seque...
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06/13/2022
GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access
Non-orthogonal multiple access (NOMA) is an interesting technology that ...
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05/22/2022
Deep Learning-Based Synchronization for Uplink NB-IoT
We propose a neural network (NN)-based algorithm for device detection an...
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05/14/2022
RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis
We present a large-scale synthetic dataset for novel view synthesis cons...
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03/22/2022
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Sionna is a GPU-accelerated open-source library for link-level simulatio...
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01/16/2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Neural graphics primitives, parameterized by fully connected neural netw...
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01/13/2022
Real-Time GPU-Accelerated Machine Learning Based Multiuser Detection for 5G and Beyond
Adaptive partial linear beamforming meets the need of 5G and future 6G a...
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08/11/2021
Dynamic Diffuse Global Illumination Resampling
Interactive global illumination remains a challenge in radiometrically- ...
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06/23/2021
Real-time Neural Radiance Caching for Path Tracing
We present a real-time neural radiance caching method for path-traced gl...
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03/31/2021
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices
We demonstrate that 1x1-convolutions in 1D time-channel separable convol...
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03/05/2021
Artificial Neural Networks generated by Low Discrepancy Sequences
Artificial neural networks can be represented by paths. Generated as ran...
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06/02/2020
Neural Control Variates
We propose neural control variates (NCV) for unbiased variance reduction...
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05/29/2019
Rethinking Full Connectivity in Recurrent Neural Networks
Recurrent neural networks (RNNs) are omnipresent in sequence modeling ta...
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05/29/2019
Instant Quantization of Neural Networks using Monte Carlo Methods
Low bit-width integer weights and activations are very important for eff...
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02/15/2019
Massively Parallel Path Space Filtering
Restricting path tracing to a small number of paths per pixel for perfor...
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01/02/2019
Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions
We compare different methods for sampling from discrete probability dist...
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11/08/2018
Massively Parallel Stackless Ray Tracing of Catmull-Clark Subdivision Surfaces
We present a fast and efficient method for intersecting rays with Catmul...
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11/08/2018
Fast, High Precision Ray/Fiber Intersection using Tight, Disjoint Bounding Volumes
Analyzing and identifying the shortcomings of current subdivision method...
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12/17/2017
Integral Equations and Machine Learning
As both light transport simulation and reinforcement learning are ruled ...
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12/17/2017
Machine Learning and Integral Equations
As both light transport simulation and reinforcement learning are ruled ...
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05/03/2017
The Iray Light Transport Simulation and Rendering System
While ray tracing has become increasingly common and path tracing is wel...
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01/25/2017
