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20182025
most citedHyperTime: Implicit Neural Representation for Time Series

8 citations · 14 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.GR2024

Physically Based Neural Bidirectional Reflectance Distribution Function

Chenliang Zhou, Alejandro Sztrajman, Gilles Rainer +6

We introduce the physically based neural bidirectional reflectance distribution function (PBNBRDF), a novel, continuous representation for material appearance based on neural field…

cs.GR2024★ 1 cited

M^3ashy: Multi-Modal Material Synthesis via Hyperdiffusion

Chenliang Zhou, Zheyuan Hu, Alejandro Sztrajman +3

High-quality material synthesis is essential for replicating complex surface properties to create realistic scenes. Despite advances in the generation of material appearance based…

cs.GR2023

Hypernetworks for Generalizable BRDF Representation

Fazilet Gokbudak, Alejandro Sztrajman, Chenliang Zhou +3

In this paper, we introduce a technique to estimate measured BRDFs from a sparse set of samples. Our approach offers accurate BRDF reconstructions that are generalizable to new mat…

cs.GR2021

Neural BRDF Representation and Importance Sampling

Alejandro Sztrajman, Gilles Rainer, Tobias Ritschel +1

Controlled capture of real-world material appearance yields tabulated sets of highly realistic reflectance data. In practice, however, its high memory footprint requires compressin…

cs.GR2018★ 4 cited

Image-based remapping of spatially-varying material appearance

Alejandro Sztrajman, Jaroslav Krivanek, Alexander Wilkie +1

BRDF models are ubiquitous tools for the representation of material appearance. However, there is now an astonishingly large number of different models in practical use. Both a lac…