Implicit neural representation for cooperative low-light image enhancement
The following three factors restrict the application of existing low-light image enhancement
methods: unpredictable brightness degradation and noise, inherent gap between metric …
methods: unpredictable brightness degradation and noise, inherent gap between metric …
V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection
AI-generated video has revolutionized short video production, filmmaking, and personalized
media, making video local editing an essential tool. However, this progress also blurs the …
media, making video local editing an essential tool. However, this progress also blurs the …
OPDN: Omnidirectional position-aware deformable network for omnidirectional image super-resolution
Abstract 360deg omnidirectional images have gained research attention due to their
immersive and interactive experience, particularly in AR/VR applications. However, they …
immersive and interactive experience, particularly in AR/VR applications. However, they …
360dvd: Controllable panorama video generation with 360-degree video diffusion model
Panorama video recently attracts more interest in both study and application courtesy of its
immersive experience. Due to the expensive cost of capturing 360-degree panoramic videos …
immersive experience. Due to the expensive cost of capturing 360-degree panoramic videos …
Omnissr: Zero-shot omnidirectional image super-resolution using stable diffusion model
Omnidirectional images (ODIs) are commonly used in real-world visual tasks, and high-
resolution ODIs help improve the performance of related visual tasks. Most existing super …
resolution ODIs help improve the performance of related visual tasks. Most existing super …
Resvr: Joint rescaling and viewport rendering of omnidirectional images
With the advent of virtual reality technology, omnidirectional image (ODI) rescaling
techniques are increasingly embraced to reduce transmitted and stored file sizes while …
techniques are increasingly embraced to reduce transmitted and stored file sizes while …
Progressive content-aware coded hyperspectral compressive imaging
Hyperspectral imaging plays a pivotal role in a wide range of applications, like remote
sensing, medicine, and cytology. By acquiring 3D hyperspectral images (HSIs) via 2D …
sensing, medicine, and cytology. By acquiring 3D hyperspectral images (HSIs) via 2D …
WTDUN: Wavelet tree-structured sampling and deep unfolding network for image compressed sensing
Deep unfolding networks have gained increasing attention in the field of compressed
sensing (CS) owing to their theoretical interpretability and superior reconstruction …
sensing (CS) owing to their theoretical interpretability and superior reconstruction …
Dual-domain sampling and feature-domain optimization network for image compressive sensing
X Xiang, F Tong, D Zhao, X Li, S Yang - Engineering Applications of …, 2024 - Elsevier
Recently, deep unfolding networks have become the mainstream approach for deep
compressed sensing methods due to their good interpretability and high reconstruction …
compressed sensing methods due to their good interpretability and high reconstruction …
Collaborative Dictionary Learning for Compressed Sensing
W Li, W Lu, X Liang, M Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this article, we study the multiple dictionaries-based compressed sensing, which has
sparse signals recovered with several different dictionaries, and then takes the average as …
sparse signals recovered with several different dictionaries, and then takes the average as …