April 2, 2024, 7:49 p.m. | Sijia Li, Chen Chen, Haonan Lu

cs.CV updates on arXiv.org arxiv.org

arXiv:2309.04372v2 Announce Type: replace
Abstract: Diffusion-model-based text-guided image generation has recently made astounding progress, producing fascinating results in open-domain image manipulation tasks. Few models, however, currently have complete zero-shot capabilities for both global and local image editing due to the complexity and diversity of image manipulation tasks. In this work, we propose a method with a mixture-of-expert (MOE) controllers to align the text-guided capacity of diffusion models with different kinds of human instructions, enabling our model to handle various open-domain …

arxiv cs.cl cs.cv expert image manipulation type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Data Science Analyst- ML/DL/LLM

@ Mayo Clinic | Jacksonville, FL, United States

Machine Learning Research Scientist, Robustness and Uncertainty

@ Nuro, Inc. | Mountain View, California (HQ)