A Real‐Time Multi‐Scale Neural Representation for Complex Surface Reflectance
Abstract Recent machine learning methods have significantly advanced the state of the art in the classic problem of representing surface appearance over angle, space, and scale. The models tend, however, to be relatively heavy compared to traditional fixed‐function representations, making real‐time application challenging.
Heikki Timonen +2 more
wiley +1 more source
TABI: Tight and Balanced Interactive Atlas Packing
Abstract Atlas packing is a key step in many computer graphics applications. Packing algorithms seek to arrange a set of charts within a fixed‐size atlas with as little downscaling as possible. Many packing applications such as content creation tools, dynamic atlas generation for video games, and texture space shading require on‐the‐fly interactive ...
F. Gu, N. Vining, A. Sheffer
wiley +1 more source
Variable‐Rate Texture Compression: Real‐Time Rendering with JPEG
Abstract Although variable‐rate compressed image formats such as JPEG are widely used to efficiently encode images, they have not found their way into real‐time rendering due to special requirements such as random access to individual texels. In this paper, we investigate the feasibility of variable‐rate texture compression on modern GPUs using the ...
Elias Kristmann +2 more
wiley +1 more source
Neural Local Inter‐reflection Modeling for Garment Fold Rendering
Abstract Realistic garment rendering requires simulating complex multi‐bounce light paths within intricate fold geometries. In these regions, conventional path tracing is computationally expensive as light becomes trapped, necessitating high bounce counts for convergence.
Jooeun Son +4 more
wiley +1 more source
Real‐time by‐example texture synthesis and filtering using local statistics exchange
Abstract Real‐time by‐example texture synthesis is used in interactive virtual worlds to generate the appearance of an unbounded surface from an exemplar texture with as few repetitions as possible. Currently, leading real‐time methods rely on a tiling and blending scheme which is known to synthesize well texture patterns with little spatial ...
Nicolas Lutz, Guillaume Gilet
wiley +1 more source
A Hybrid Deep Learning Architecture for Content Request Prediction in the Internet of Vehicles. [PDF]
Rezki A +8 more
europepmc +1 more source
Real‐Time Rendering of Dynamic Line Sets using Voxel Ray Tracing
Abstract Real‐time rendering of dynamic line sets is relevant in many visualization tasks, including unsteady flow visualization and interactive white matter reconstruction from Magnetic Resonance Imaging. High‐quality global illumination and transparency are important for conveying the spatial structure of dense line sets, yet remain difficult to ...
B. Kraaijeveld +3 more
wiley +1 more source
A cloud-edge-end collaborative intelligent caching method based on incremental federated learning algorithms. [PDF]
Huang X, Jin L, Lin K, Wu W, Lin Z.
europepmc +1 more source
Stochastic Pairwise MIS for Unbiased Large‐Kernel Reuse in Real‐Time
Abstract Spatiotemporal resampling methods such as ReSTIR decrease noise in Monte Carlo rendering of dynamic content by reusing paths across frames and pixels. Standard ReSTIR reuses spatially from a small number of randomly selected neighbors. This reuse suffers when few neighbors contain contributing samples, reducing quality toward that of the ...
Trevor Hedstrom +4 more
wiley +1 more source
Frequency-Dependent Seed Selection: How Relative Abundance and Seed Traits Jointly Mediate Foraging Preference in Scatter-Hoarding Rodents. [PDF]
Guo K, Zhang J, Lu Z, Wang B.
europepmc +1 more source

