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Ben Beilharz
@engramm.ing

#EGSR26 has come to an end, and I am sad it is already over. Tons of interesting chats, nice, approachable people, and overall just a great experience. Thanks to the organisers for making this possible; looking forward to next year in Lugano! My highlights: 1/5

Ben Beilharz
@engramm.ing

* Fengshi's Illumination-Aware Spatial Subdivision for Path Guiding: diglib.eg.org/items/44e861... * Jorge's One-more-vertex Next-Event Estimation with Hierarchical Geometry Sampling: diglib.eg.org/items/941558... 2/5

diglib.eg.orgIllumination-Aware Spatial Subdivision for Path GuidingPath tracing is ubiquitous in production rendering and path guiding has established itself as a powerful approach to mitigate its failure cases. Several widely used methods partition the scene using a...
Ben Beilharz
@engramm.ing

* Song's Conditional Product NEE for Gaussian Process Implicit Surfaces: diglib.eg.org/items/732105... * Liliana's Keynote about Avian colouration: egsr2026.inria.fr/keynotes/#alba * Louis' A Hybrid Neural-Microfacet BRDF Model for Real-Time Rendering: diglib.eg.org/items/add38f... 3/5

diglib.eg.orgConditional Product Next Event Estimation for Gaussian Process Implicit SurfacesWe propose a new next-event estimation (NEE) technique for Gaussian Process Implicit Surfaces (GPISes). We show that the distribution of surface normals available for sampling at a GPIS hit point coll...
Ben Beilharz
@engramm.ing

* Laurent's Neural Texture Compression using Hypernetworks: diglib.eg.org/items/0229b2... * Sergio's Neural Render Proxies for Interactive and Differentiable Lighting: studios.disneyresearch.com/2026/07/01/n... 4/5

diglib.eg.orgNeural Texture Compression using HypernetworksRecent work on neural texture compression has demonstrated that it is possible to learn small, per-material texture representations (composed of latent textures and a small Multi-Layer Perceptron deco...
Ben Beilharz
@engramm.ing

* Mirco's Optimized and Aligned Anisotropic Monte Carlo Sampling Patterns: diglib.eg.org/items/3ba69a... * My personal favourite (and best paper awarded): Elie's Volumetric Inverse Rendering via Neural Radiative Transfer diglib.eg.org/items/dcda7e... 5/5

diglib.eg.orgVolumetric Inverse Rendering via Neural Radiative TransferVolumetric inverse rendering seeks to recover the optical properties of participating media from images. Existing approaches either rely on differentiable stochastic light transport simulation, which ...

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