Feb. 26, 2024, 2:50 p.m. | Sana Hassan

MarkTechPost www.marktechpost.com

Text-to-image (T2I) and text-to-video (T2V) generation have made significant strides in generative models. While T2I models can control subject identity well, extending this capability to T2V remains challenging. Existing T2V methods need more precise control over generated content, particularly identity-specific generation for human-related scenarios. Efforts to leverage T2I advancements for video generation need help maintaining […]


The post ByteDance Proposes Magic-Me: A New AI Framework for Video Generation with Customized Identity appeared first on MarkTechPost.

ai framework ai shorts artificial intelligence bytedance capability computer vision control editors pick framework generated generative generative models human identity image magic staff tech news technology text text-to-image text-to-video video video generation

More from www.marktechpost.com / MarkTechPost

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

MLOps Engineer - Hybrid Intelligence

@ Capgemini | Madrid, M, ES

Analista de Business Intelligence (Industry Insights)

@ NielsenIQ | Cotia, Brazil