Results 101 to 110 of about 658,126 (299)
Noise Reduction Techniques for Video Coding Applications [PDF]
, 1998 Granular noise is visually bothersome with respect to high quality rendition, and it is a well known source of visual artifacts for coding algorithms. This work considers the application of nonlinear filtering techniques to granular noise reduction and their effects on video coding.
Guido M. Cortelazzo +2 more
openaire +2 more sources
Deep Video Generation, Prediction and Completion of Human Action Sequences
, 2017 Current deep learning results on video generation are limited while there are only a few first results on video prediction and no relevant significant results on video completion.
A Newell +14 more
core +1 more source
Advanced Healthcare Materials, EarlyView.AIMSPec‐LoC is a novel lab‐on‐a‐chip platform integrating size‐based extracellular vesicle (EVs) separation with label‐free Raman spectroscopy and AI‐powered classification via SKiNET. This high‐throughput, portable system enables real‐time, multiplexed molecular fingerprinting of EVs from biofluids, offering transformative potential for early, non ...
Emma Buchan +3 more
wiley +1 more source
CoNo: Consistency Noise Injection for Tuning-free Long Video Diffusion [PDF]
arXivTuning-free long video diffusion has been proposed to generate extended-duration videos with enriched content by reusing the knowledge from pre-trained short video diffusion model without retraining. However, most works overlook the fine-grained long-term video consistency modeling, resulting in limited scene consistency (i.e., unreasonable object or ...
arxiv
Power Efficient MISO Beamforming for Secure Layered Transmission
, 2013 This paper studies secure layered video transmission in a multiuser multiple-input single-output (MISO) beamforming downlink communication system. The power allocation algorithm design is formulated as a non-convex optimization problem for minimizing the
Alnuweiri, Hussein +2 more
core +1 more source
Advanced Materials, EarlyView.Convergence drawing is used to create flexible, microscale, multifunctional fiber‐based neural probes. Optimized materials selection enables individual devices to perform neural recording, electrical stimulation, optogenetics, fiber photometry, fluid delivery, and voltammetric neurotransmitter detection in rodents.
Nicolette Driscoll +16 more
wiley +1 more source
DNI: Dilutional Noise Initialization for Diffusion Video Editing [PDF]
arXivText-based diffusion video editing systems have been successful in performing edits with high fidelity and textual alignment. However, this success is limited to rigid-type editing such as style transfer and object overlay, while preserving the original structure of the input video.
arxiv
Advanced study of video signal processing in low signal to noise environments Semiannual progress report, Jun. - Nov. 1970 [PDF]
Video signal processing in low signal to noise environments - bandpass filter in multi-filter phase lock ...
Bowden, R., Carden, F.
core +1 more source
Flexible 3D Kirigami Probes for In Vitro and In Vivo Neural Applications
Advanced Materials, EarlyView.A customizable and scalable approach to fabricate flexible 3D kirigami microelectrode arrays (MEAs) featuring up to 128 shanks, including surface and penetrating electrodes designed to interact with the 3D space of neural tissue, is presented. The 3D kirigami MEAs are successfully deployed in several neural applications, both in vitro and in vivo, and ...
Marie Jung +10 more
wiley +1 more source
EquiVDM: Equivariant Video Diffusion Models with Temporally Consistent Noise [PDF]
arXivTemporally consistent video-to-video generation is essential for applications of video diffusion models in areas such as sim-to-real, style-transfer, video upsampling, etc. In this paper, we propose a video diffusion framework that leverages temporally consistent noise to generate coherent video frames without specialized modules or additional ...
arxiv