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...
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...
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...
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...
by America Ortiz | May 31, 2026 | Video Processing, Visual Computing
RenderFlow: Single-Step Neural Rendering via Flow Matching In this paper, we propose a novel, end-to-end, deterministic, single-step neural rendering framework, RenderFlow, built upon a flow matching paradigm. To further strengthen both rendering quality and...
