Female Black-Capped Chickadees (<i>Poecile atricapillus</i>) Expand Foraging Both Temporally and Spatially to Mitigate Interference Competition. [PDF]
Haave-Audet E, Mathot KJ.
europepmc +1 more source
Differentiable Randers‐Finsler Eikonal Solvers
Abstract Fast and differentiable solvers for anisotropic and asymmetric distance fields are a key primitive in geometry processing, enabling gradient‐based optimization over metrics, drift fields, and downstream objectives that depend on geodesic distances and geodesics.
Barak Gahtan +2 more
wiley +1 more source
Dynamic edge-caching through content popularity and crowd prediction for short video services. [PDF]
Niu S, Liu Y, Liao K, Zhang B, Zou G.
europepmc +1 more source
Dynamic Wave Trains: A Procedural Approach to Spatially Varying Ocean Synthesis
In this paper, we present a high performance procedural model capable of synthesizing and rendering a virtually infinite ocean. Our method exhibits spatial variations as the orientations, speed and choppiness of the waves is parametrized for each frequencies and each point in space. The provided visual abstract exhibits a sunset rendering of a large 40
Romain Fournier +4 more
wiley +1 more source
Deep learning-based caching optimization for VR 360° videos in vehicular edge computing. [PDF]
Khan S +5 more
europepmc +1 more source
CuRast: Cuda‐Based Software Rasterization for Billions of Triangles
Abstract This paper presents a CUDA‐based software rasterizer capable of rendering up to a billion unique triangles, or up to 4 billion instanced triangles, in real time at 60 fps on an RTX 5090. By specifically targeting dense, opaque meshes, our approach is able to outperform the native GPU rasterization pipeline in these scenarios.
M. Schütz +3 more
wiley +1 more source
FROA-Drive: Failure-Routed Offline Adaptation for Lightweight Vision-Language-Action Autonomous Driving. [PDF]
Xu Y, Xu A.
europepmc +1 more source
One‐more‐vertex Next‐Event Estimation with Hierarchical Geometry Sampling
Abstract Robust next‐event estimation (NEE) remains a challenge in scenes characterized by sparse or small‐scale geometry where indirect illumination is the primary transport mechanism. In these scenes, traditional path construction, which relies on local directional sampling, often fails to find intersections with the sparse geometry, and standard NEE
Jorge Garcia‐Pueyo +3 more
wiley +1 more source
LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval. [PDF]
Cheng H +7 more
europepmc +1 more source
Volumetric Inverse Rendering via Neural Radiative Transfer
Abstract Volumetric inverse rendering seeks to recover the optical properties of participating media from images. Existing approaches either rely on differentiable stochastic light transport simulation, which require substantial algorithmic effort, or use simplified models that fail to capture global illumination.
Ntumba Elie Nsampi +4 more
wiley +1 more source

