Results 21 to 30 of about 86,009 (325)
Advance trends in targeting homology-directed repair for accurate gene editing: An inclusive review of small molecules and modified CRISPR-Cas9 systems [PDF]
BioImpacts, 2022 Introduction: Clustered regularly interspaced short palindromic repeat and its associated protein (CRISPR-Cas)-based technologies generate targeted modifications in host genome by inducing site-specific double-strand breaks (DSBs) that can serve as a ...
Forough Shams +6 more
doaj +1 more source
A Unified HDR Imaging Method with Pixel and Patch Level [PDF]
Computer Vision and Pattern Recognition, 2023 Mapping Low Dynamic Range (LDR) images with different exposures to High Dynamic Range (HDR) remains nontrivial and challenging on dynamic scenes due to ghosting caused by object motion or camera jitting.
Qing-Sen Yan +5 more
semanticscholar +1 more source
HDR-NeRF: High Dynamic Range Neural Radiance Fields [PDF]
Computer Vision and Pattern Recognition, 2021 We present High Dynamic Range Neural Radiance Fields (HDR-NeRF) to recover an HDR radiance field from a set of low dynamic range (LDR) views with different exposures.
Xin Huang +5 more
semanticscholar +1 more source
HDR UK Good Research Practice Policy
, 2023 <p>This policy has been designed to encourage good conduct in research so as to maximise the benefits of research for: researchers, patients, and the broader public.
HDR UK
core +2 more sources
On Improving the Pooling in HDR-VDP-2 towards Better HDR Perceptual Quality Assessment [PDF]
, 2014 International audienceHigh Dynamic Range (HDR) signals capture much higher contrasts as compared to the traditional 8-bit low dynamic range (LDR) signals.
Pépion, Romuald +3 more
core +6 more sources
Improving Dynamic HDR Imaging with Fusion Transformer
AAAI Conference on Artificial Intelligence, 2023 Reconstructing a High Dynamic Range (HDR) image from several Low Dynamic Range (LDR) images with different exposures is a challenging task, especially in the presence of camera and object motion. Though existing models using convolutional neural networks
Rufeng Chen +6 more
semanticscholar +1 more source
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields [PDF]
European Conference on Computer Vision, 2022 We propose high dynamic range (HDR) radiance fields, HDR-Plenoxels, that learn a plenoptic function of 3D HDR radiance fields, geometry information, and varying camera settings inherent in 2D low dynamic range (LDR) images.
Jun-Seong Kim +3 more
semanticscholar +1 more source
hdr-bgnn/Minnow_Segmented_Traits: initial release
, 2023 <p>This release works with paths to TDAI Data Commons and accompanies the paper by Balk et al., "A FAIR and modular image-based workflow for knowledge discovery in the emerging field of imageomics".</p> <p>This repository ...
Meghan Balk +3 more
core +1 more source
Single-Image HDR Reconstruction by Multi-Exposure Generation [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022 High dynamic range (HDR) imaging is an indispensable technique in modern photography. Traditional methods focus on HDR reconstruction from multiple images, solving the core problems of image alignment, fusion, and tone mapping, yet having a perfect ...
Phuoc-Hieu Le +3 more
semanticscholar +1 more source
HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset [PDF]
IEEE International Conference on Computer Vision, 2021 High dynamic range (HDR) video reconstruction from sequences captured with alternating exposures is a very challenging problem. Existing methods often align low dynamic range (LDR) input sequence in the image space using optical flow, and then merge the ...
Guanying Chen +5 more
semanticscholar +1 more source