Diffusion Transformers (DiT) have become the de-facto model for generating high-quality
visual content like videos and images. A huge bottleneck is the attention mechanism where …

Recent research explores the potential of Diffusion Models (DMs) for consistent object
editing, which aims to modify object position, size, and composition, etc., while preserving the …

Water-annulus technology is regarded as a promising and efficient method for reducing
drag and saving power in the transportation of highly viscous oil. Most existing theoretical …

Text-to-image (T2I) diffusion models have demonstrated impressive capabilities in generating
high-quality images given a text prompt. However, ensuring the prompt-image alignment …

Modern recommender systems aim to identify items that are most pertinent to a particular
user and are particularly useful when an overwhelming number of items are present. Feature …

Recent text-to-image (T2I) diffusion models achieve remarkable realism, yet faithful prompt-image
alignment remains challenging, particularly for complex prompts with multiple objects, …

Self-powered photodetectors, which operate without the need for an external power supply,
play a pivotal role in addressing the growing demands for low power consumption, …

Our paper discovers a new trade-off of using regression adjustments (RAs) in causal inference
under covariate-adaptive randomizations (CARs). On one hand, RAs can improve the …

Background Previous studies have examined that a range of optimal serum P level during
the implantation period was associated with optimal live birth rates. However, those results …

This paper introduces a new device concept and outlines the fabrication process of a
bipolar junction transistor based on an IGZO/NiO/PbSe nanoband array heterostructure. We …