Zobrazeno 1 - 10
of 1 416
pro vyhledávání: '"Implicit neural representation"'
Professional photo editing remains challenging, requiring extensive knowledge of imaging pipelines and significant expertise. With the ubiquity of smartphone photography, there is an increasing demand for accessible yet sophisticated image editing so
Externí odkaz:
http://arxiv.org/abs/2412.03848
Recently, implicit neural representations (INRs) have attracted increasing attention for multi-dimensional data recovery. However, INRs simply map coordinates via a multi-layer perception (MLP) to corresponding values, ignoring the inherent semantic
Externí odkaz:
http://arxiv.org/abs/2411.11356
Recent advancements in local Implicit Neural Representation (INR) demonstrate its exceptional capability in handling images at various resolutions. However, frequency discrepancies between high-resolution (HR) and ground-truth images, especially at l
Externí odkaz:
http://arxiv.org/abs/2408.13716
With the popularity of video applications, the security of video content has emerged as a pressing issue that demands urgent attention. Most video content protection methods mainly rely on encryption technology, which needs to be manually designed or
Externí odkaz:
http://arxiv.org/abs/2408.15281
Autor:
Han, Dongshen1 (AUTHOR) han-0129@khu.ac.kr, Zhang, Chaoning1 (AUTHOR) chaoningzhang1990@gmail.com
Publikováno v:
Remote Sensing. Dec2024, Vol. 16 Issue 23, p4473. 20p.
Autor:
Han, Dongshen1 (AUTHOR) han-0129@khu.ac.kr, Zhang, Chaoning1 (AUTHOR) chaoningzhang@khu.ac.kr
Publikováno v:
Remote Sensing. Dec2024, Vol. 16 Issue 23, p4471. 19p.
Autor:
Li, Chao, Li, Jiahao, Zhang, Jinwei, Solomon, Eddy, Dimov, Alexey V., Spincemaille, Pascal, Nguyen, Thanh D., Prince, Martin R., Wang, Yi
Purpose: To develop an MRI technique for free-breathing 3D whole-liver quantification of water T1, water T2, proton density fat fraction (PDFF), R2*. Methods: An Eight-echo spoiled gradient echo pulse sequence with spiral readout was developed by int
Externí odkaz:
http://arxiv.org/abs/2410.15175
Multi-image hiding, which embeds multiple secret images into a cover image and is able to recover these images with high quality, has gradually become a research hotspot in the field of image steganography. However, due to the need to embed a large a
Externí odkaz:
http://arxiv.org/abs/2410.10117
We present SegINR, a novel approach to neural Text-to-Speech (TTS) that addresses sequence alignment without relying on an auxiliary duration predictor and complex autoregressive (AR) or non-autoregressive (NAR) frame-level sequence modeling. SegINR
Externí odkaz:
http://arxiv.org/abs/2410.04690
Inconsistent responses of X-ray detector elements lead to stripe artifacts in the sinogram data, which manifest as ring artifacts in the reconstructed CT images, severely degrading image quality. This paper proposes a method for correcting stripe art
Externí odkaz:
http://arxiv.org/abs/2409.15731