Nov. 25, 2023, 9:08 p.m. | Daniele Lorenzi


The generation of hyper-realistic human images from user-defined conditions, such as text and pose, is meaningful for various applications, including image animation and virtual try-ons. Numerous efforts have been made to explore the task of controllable human image generation. Early methods either relied on variational auto-encoders (VAEs) in a reconstruction manner or improved realism through […]

The post Meet HyperHuman: A Novel AI Framework for Hyper-Realistic Human Generation with Latent Structural Diffusion appeared first on MarkTechPost.

ai framework ai paper summary ai shorts animation applications artificial intelligence auto computer vision diffusion editors pick explore framework human human images image image generation images machine learning novel novel ai staff tech news technology text virtual

More from / MarkTechPost

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Snowflake Analytics Engineer - Technology Sector

@ Winning | Lisbon, Lisbon

Business Data Analyst

@ RideCo | Waterloo, Ontario, Canada

Senior Data Scientist, Payment Risk

@ Block | Boston, MA, United States

Research Scientist, Data Fusion (Climate TRACE)

@ WattTime | Remote

Technical Analyst (Data Analytics)

@ Contact Government Services | Fayetteville, AR