Abstract: Hierarchical decoders are widely employed in semantic segmentation architectures, where feature upsampling and fusion are critical at each layer. However, inaccuracies in feature position ...
It appears that when rendering in spectral mode, for instance over 300nm --> 1100nm, that the spectral upsampling algorithm for RGB (for instance, for textures and/or HDRIs) does not produce any ...
Abstract: A spatial upsampling method for the head-related transfer function (HRTF) using deep neural networks (DNNs), consisting of an autoencoder conditioned on the source position and frequency, is ...
The incident impacted multiple web and mobile applications, licensing services, downloads and online store, website, wiki, MathWorks accounts, and other services. Software maker MathWorks this week ...
MathWorks, a leading developer of mathematical computing and simulation software, has revealed that a recent ransomware attack is behind an ongoing service outage. Headquartered in Natick, ...
MathWorks, a mathematical computing software company headquartered in Natick, Mass., disclosed a ransomware attack in an update to its website on Monday. MathWorks is known for creating the MATLAB ...
I would like to test FeatUp as an upsampling module in the decoder of a UNet like architecture instead of transposed convolution or upsampling + convolution. Is it feasible at the moment ? I feel like ...
The big picture: With FSR 4, AMD has finally integrated machine learning into its upscaler, following in the footsteps of Nvidia DLSS and Intel XeSS. Previous versions relied on spatial and temporal ...