The rapid advancement of artificial intelligence is reshaping materials research, moving it beyond trial‑and‑error approaches toward more intelligent and autonomous discovery. AI agents powered by large language models (LLMs) have emerged as a promising component of this transition. Unlike conventional predictive mod...
Tong-Bo Jiang, Zheng-Yang Zhang, Ming-Shuo Nie et al.· Advanced Functional Material...· 0 citations
MGN-AIR is presented, a novel pixel-level restoration framework for all-in-one image restoration that leverages both textual and visual prompts to provide global and local degradation cues, guiding the model on where to look and how to restore at each pixel.
Chun-Xiao Liu, Wei Liu, Anbin Xiong et al.· 0 citations
FSP-Diff, a novel one-step diffusion model featuring a dual-pathway architecture that refines semantic guidance using structured details to mitigate semantic deviations, is proposed and demonstrates that FSP-Diff surpasses existing one-step diffusion methods in both quantitative and qualitative metrics.
Chunxiao Liu, Wei Liu, Anbin Xiong et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.