Multi-modality (MM) image fusion aims to render fused images that maintain the merits of
different modalities, eg, functional highlight and detailed textures. To tackle the challenge in …

In this paper, we summarize the 2nd NTIRE challenge on stereo image super-resolution
(SR) with a focus on new solutions and results. The task of the challenge is to super-resolve …

Event cameras, which output events by detecting spatio-temporal brightness changes, bring
a novel paradigm to image sensors with high dynamic range and low latency. Previous …

The high-resolution screen of edge devices stimulates a strong demand for efficient image
super-resolution (SR). An emerging research, SR-LUT, responds to this demand by …

The asymmetric dual-lens configuration is commonly available on mobile devices
nowadays, which naturally stores a pair of wide-angle and telephoto images of the same …

Image fusion aims to generate a high-quality image from multiple images captured under
varying conditions. The key problem of this task is to preserve complementary information …

For better explore the relations of inter-modal and inner-modal, even in deep learning fusion
framework, the concept of decomposition plays a crucial role. However, the previous …

Stereo video super-resolution (SVSR) aims to enhance the spatial resolution of the low-
resolution video by reconstructing the high-resolution video. The key challenges in SVSR …

Camera image simulation is integral to the virtual validation of autonomous vehicles and
robots that use visual perception to understand their environment. It also has applications in …

Multi-modality image fusion (MMIF) aims to integrate complementary information from
different modalities into a single fused image to represent the imaging scene and facilitate …