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Ragged Neighborhood Attention for Spatiotemporal Neural Denoising of Deep Monte Carlo Renderings

Ragged Neighborhood Attention for Spatiotemporal Neural Denoising of Deep Monte Carlo Renderings

by America Ortiz | Jul 16, 2026 | Machine Learning, Video Processing, Visual Computing

Ragged Neighborhood Attention for Spatiotemporal Neural Denoising of Deep Monte Carlo Renderings In this work, we introduce the ragged neighborhood attention (RaNA) operator, which extends neighborhood attention to semi-structured deep images by dynamically resolving...
A Generative Motion Rig for Artist-Driven Motion Authoring

A Generative Motion Rig for Artist-Driven Motion Authoring

by America Ortiz | Jul 16, 2026 | Machine Learning, Video Processing, Visual Computing

A Generative Motion Rig for Artist-Driven Motion Authoring In this work, we developed a Generative Motion Rig as a Blender plugin, built atop a general motion model. July 16, 2026 SIGGRAPH (2026)     AuthorsJakob Buhmann (DisneyResearch|Studios)Dhruv Agrawal...
Neural Render Proxies for Interactive and Differentiable Lighting

Neural Render Proxies for Interactive and Differentiable Lighting

by America Ortiz | Jul 1, 2026 | Machine Learning, Video Processing, Visual Computing

Neural Render Proxies for Interactive and Differentiable Lighting In this work, we introduce a novel neural render proxy (NRP) that enables differentiable relighting of static scenes with fixed camera and materials at interactive rates. July 1, 2026 Eurographics...
Illumination-Aware Spatial Subdivision for Path Guiding

Illumination-Aware Spatial Subdivision for Path Guiding

by America Ortiz | Jul 1, 2026 | Machine Learning, Video Processing, Visual Computing

Illumination-Aware Spatial Subdivision for Path Guiding In this work, we propose a method to adapt the k-d tree depending on the variation in the illumination. To this end, we use lookahead cells, i.e. multiple additional levels of k-d tree cells that do not store a...
Neural Material Adapter: Transforming Complex Materials into Efficient Analytic BSDFs

Neural Material Adapter: Transforming Complex Materials into Efficient Analytic BSDFs

by America Ortiz | Jul 1, 2026 | Machine Learning, Video Processing, Visual Computing

Neural Material Adapter: Transforming Complex Materials into Efficient Analytic BSDFs In this work, we present the Neural Material Adapter (NMA), a frameworkthat bridges the gap between high-fidelity material data and efficient rendering by mapping complex appearances...
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