Results 41 to 50 of about 169,247 (258)
Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks
, 2017 We present a technique for efficiently synthesizing images of atmospheric clouds using a combination of Monte Carlo integration and neural networks. The intricacies of Lorenz-Mie scattering and the high albedo of cloud-forming aerosols make rendering of ...
Gross, Markus +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski +59 more
wiley +1 more source
Dual-Modality Cross-Interaction-Based Hybrid Full-Frame Video Stabilization
Applied SciencesThis study aims to generate visually useful imagery by preventing cropping while maintaining resolution and minimizing the degradation of stability and distortion to enhance the stability of a video for Augmented Reality applications. The focus is placed
Jaeyoung Jang, Yuseok Ban, Kyungjae Lee
doaj +1 more source
Advances in Multimedia, 2022 Because of its flexibility and universality, Monte Carlo integral has become the preferred algorithm of most realistic image synthesis. However, the quality of rendered images is often affected by the estimated variance, which is mainly reflected in ...
Xiwen Chen, Jianfei Shen
doaj +1 more source
A Novel Implicit Neural Representation for Volume Data
Applied Sciences, 2023 The storage of medical images is one of the challenges in the medical imaging field. There are variable works that use implicit neural representation (INR) to compress volumetric medical images.
Armin Sheibanifard, Hongchuan Yu
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Chemotherapy‐induced peripheral neuropathy remains a major complication in pediatric cancer, with disrupted somatosensory and nociceptive processing being a key aspect. This review synthesizes empirical studies on alterations in somatosensory and nociceptive processing in children and adolescents with cancer.
Julia Schweiger +4 more
wiley +1 more source
Hybrid mesh-neural representation for 3D transparent object reconstruction
Computational Visual MediaIn this study, we propose a novel method to reconstruct the 3D shapes of transparent objects using images captured by handheld cameras under natural lighting conditions.
Jiamin Xu +3 more
doaj +1 more source
Nation Scale NeRF Reconstruction [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesNeural Radiance Field (NeRF) rendering methodologies provide 3D reconstructions which better represent features and characteristics common to built heritage, which are otherwise poorly represented by traditional structure from motion reconstruction and ...
A. Mai +5 more
doaj +1 more source
Inverse Rendering of Translucent Objects using Physical and Neural Renderers
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Accepted to ...
Li, Chenhao +2 more
openaire +2 more sources