Results 141 to 150 of about 36,154 (265)
Statistical Denoising of Transient Rendering
Abstract Transient rendering simulates light in motion, measuring the time of flight from the light source to the camera. However, the stochastic nature of Monte Carlo is aggravated in transient rendering, since samples are now spread along the temporal domain.
Oscar Pueyo‐Ciutad +2 more
wiley +1 more source
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
Explicit Compression Degradation Estimations for Low-Sampling Single-Pixel Imaging using Hadamard Basis. [PDF]
Zhang H, Cao J, Zhou C, Yao H, Hao Q.
europepmc +1 more source
Abstract While semi‐analytical boundary handling techniques have proven effective for modeling particle‐based fluid‐solid interactions, they can become unstable when applied to mesh boundaries undergoing dynamic motion or featuring complex, sharp geometries.
Junyuan Liu +5 more
wiley +1 more source
MicroDeblurNet: high-fidelity restoration of spatially variant defocus in microscopic images for cucumber downy mildew. [PDF]
Zhang Y +5 more
europepmc +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
GS-MSDR: Gaussian Splatting with Multi-Scale Deblurring and Resolution Enhancement. [PDF]
Wan F +5 more
europepmc +1 more source
Abstract Correlation‐based rendering techniques continue to advance, and efficiently exploiting correlations between pixel estimates has become increasingly important. The deep combiner framework [BHHM20] allows us to fuse independent and correlated pixel estimates but focuses solely on spatial correlations.
W. Zhou, E. Hughes, T. Hachisuka
wiley +1 more source
Iris Image Blur Detection with Multiple Kernel Learning
Lili Pan 0001, Mei Xie, Ling Mao
openaire +2 more sources
Edge‐preserving noise for diffusion models
Abstract Classical diffusion models typically rely on isotropic Gaussian noise, treating all regions uniformly and overlooking structural information important for high‐quality generation. We introduce an edge‐preserving diffusion process that generalizes isotropic models via a hybrid noise scheme with an edge‐aware scheduler that smoothly transitions ...
Jente Vandersanden +3 more
wiley +1 more source

