Jan. 27, 2024, 4:13 a.m. | Mohammad Asjad

MarkTechPost www.marktechpost.com

Recent advancements in generative models for text-to-image (T2I) tasks have led to impressive results in producing high-resolution, realistic images from textual prompts. However, extending this capability to text-to-video (T2V) models poses challenges due to the complexities introduced by motion. Current T2V models face limitations in video duration, visual quality, and realistic motion generation, primarily due […]


The post Google AI Presents Lumiere: A Space-Time Diffusion Model for Video Generation appeared first on MarkTechPost.

ai shorts applications artificial intelligence capability challenges complexities computer vision current diffusion diffusion model editors pick face generative generative models google image images limitations lumiere prompts quality space staff tasks tech news technology text text-to-image text-to-video textual video video generation visual

More from www.marktechpost.com / MarkTechPost

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