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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...
What Is It Like to Be a Noise? An Entropy-based Gaussian Noise Regularization for Diffusion Models

What Is It Like to Be a Noise? An Entropy-based Gaussian Noise Regularization for Diffusion Models

by America Ortiz | May 31, 2026 | Video Processing, Visual Computing

What Is It Like to Be a Noise? An Entropy-based Gaussian Noise Regularization for Diffusion Models In this paper, we propose a Gaussianity regularizer that aligns a sample’s local statistics with a typical Gaussian realization, rather than relying on pointwise...
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