Hierarchical and context-dependent encoding of actions in human posterior parietal and motor cortex. [PDF]
Bougou V +6 more
europepmc +1 more source
PBR‐Inspired Controllable Diffusion for Image Generation
Abstract Despite recent advances in text‐to‐image generation, controlling geometric layout and PBR material properties in synthesized scenes remains challenging. We present a pipeline that first produces a G‐buffer (albedo, normals, depth, roughness, shading, and metallic) from a text prompt and then renders a final image through a PBR‐inspired branch ...
Bowen Xue +3 more
wiley +1 more source
Probabilistic Error-Corrected Controlled Dense Coding Under Bit-Flip Channels via Auxiliary Particles and Partially Entangled States. [PDF]
Diao Z +6 more
europepmc +1 more source
Abstract Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However, no single metric consistently produces the most effective results.
X. Li, P. Zhang, X. Wang, H. Shen, Y. Hu
wiley +1 more source
Near-Capacity Iteratively Decoded Binary Self-Concatenated Code Design Using EXIT Charts [PDF]
Muhammad Fasih Uddin Butt +7 more
core +2 more sources
ASVLB-Net: A lightweight network for multispectral weed segmentation with NDVI-guided adaptive fusion. [PDF]
Dong Z +5 more
europepmc +1 more source
TT4D: Tensor‐Train‐based 4D Time‐Dependent Volume Rendering
Abstract Visualizing large‐scale, time‐varying volumetric data using direct volume rendering remains a significant challenge in scientific visualization, particularly as data sizes and resolutions continue to increase. One promising direction for addressing this challenge is the use of tensor decompositions, which have proven to be a useful tool for ...
Clara Hartmann +2 more
wiley +1 more source
On the Union Bounds of Self-Concatenated Convolutional Codes
Butt, Muhammad Fasih +2 more
core +1 more source
SpaSE-UNet3D: Sensor-Driven Wildfire Detection and Progression Prediction from VIIRS Multispectral Imagery. [PDF]
Mavros N, Katsaros D.
europepmc +1 more source
Medial Axis Aware Learning of Signed Distance Functions
Abstract We propose a novel variational method to compute a highly accurate global signed distance function (SDF) to a given point cloud. To this end, the jump set of the gradient of the SDF, which coincides with the medial axis of the surface, is explicitly taken into account through a higher‐order variational formulation that enforces linear growth ...
Samuel Weidemaier +2 more
wiley +1 more source

