all AI news
Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing
March 5, 2024, 2:48 p.m. | Yafei Zhang, Shen Zhou, Huafeng Li
cs.CV updates on arXiv.org arxiv.org
Abstract: Recovering a clear image from a single hazy image is an open inverse problem. Although significant research progress has been made, most existing methods ignore the effect that downstream tasks play in promoting upstream dehazing. From the perspective of the haze generation mechanism, there is a potential relationship between the depth information of the scene and the hazy image. Based on this, we propose a dual-task collaborative mutual promotion framework to achieve the dehazing of …
abstract arxiv clear collaborative cs.cv image information network perspective progress promotion research tasks type
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Machine Learning Research Scientist
@ d-Matrix | San Diego, Ca