Image Rain Removal Using Conditional Generative Networks Incorporating

The research of removing rain from pictures or videos has always been an important topic in the field of computer vision and image processing. Most noise reduction methods more or less remove texture details in rain-free areas, resulting in an over-smoothing effect in the restored background. The research on image noise removal is very meaningful. We exploit the powerful generative power of a modified generative adversarial network (CGAN) by enforcing an additional condition that makes the derained image indistinguishable from its corresponding ground-truth clean image. An efficient and lightweight attention machine mechanism NAM is introduced in the generator, and an IDN-CGAN model is proposed to capture image salient features through attention operations. Taking advantage of the mutual information in different dimensions of the features to further suppress insignificant channels or pixels to ensure better visual quality, we also introduce a new fine-grained loss function in the generator-discriminator pair, predicting and real data degree of disparity to achieve improved results.

Recent advances in g-C_(3)N_(4)-based direct Z-scheme photocatalysts for environmental and energy applications

In the midst of the rapid advancement of photocatalysis,direct Z-scheme heterojunction photocatalysts have emerged as a powerful solution to address environmental challenges and the looming energy crisis.The precise engineering of direct Z-scheme heterojunction photocatalysts proves highly beneficial in optimizing their elec-tronic structure,ultimately enhancing their photocatalytic performance.Notably,graphitic carbon nitride(g-C_(3)N_(4))has recently gained recognition as a leading candidate for the creation of direct Z-scheme heterojunctions,owing to its favorable attributes such as a moderate band-gap(2.7 eV),high reduction potential and abundant active sites.In this review,we offer a concise overview of the fundamental principles and recent advancements in g-C_(3)N_(4)-based direct Z-scheme photocatalytic systems.Furthermore,we delve into the various practical applica-tions of g-C_(3)N_(4)-based direct Z-scheme photocatalysts,specifically in the realms of energy conversion and envi-ronmental remediation.These applications include the removal of contaminant pollutants through photocatalytic degradation,water splitting(comprising H_(2)-generation,O_(2)-evolution,and overall water splitting),and CO_(2)reduction.Additionally,we present comprehensive characterization methods and strategies aimed at further enhancing the photocatalytic activity of g-C_(3)N_(4)-based direct Z-scheme photocatalytic systems.To conclude,this review offers summarizing insights and a brief discussion on future challenges and prospects pertaining to g-C_(3)N_(4)-based direct Z-scheme photocatalysts.We believe that this review will inspire continued exploration and foster a deeper understanding of the groundbreaking possibilities within photocatalytic activity.This also provides valuable guidance for the design and construction of innovative direct Z-scheme photocatalysts.