March 19, 2024, 4:49 a.m. | Datao Tang, Xiangyong Cao, Xingsong Hou, Zhongyuan Jiang, Deyu Meng

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.11614v1 Announce Type: new
Abstract: The emergence of diffusion models has revolutionized the field of image generation, providing new methods for creating high-quality, high-resolution images across various applications. However, the potential of these models for generating domain-specific images, particularly remote sensing (RS) images, remains largely untapped. RS images that are notable for their high resolution, extensive coverage, and rich information content, bring new challenges that general diffusion models may not adequately address. This paper proposes CRS-Diff, a pioneering diffusion modeling …

abstract applications arxiv cs.cv diff diffusion diffusion models domain emergence foundation foundation model generative however image image generation images quality sensing type

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US