Diffusion Models
3 articles
Research & Breakthroughs
Foundation Models Explained: Why Transformers Handle Language and Diffusion Models Paint Pictures
Foundation models are large neural networks trained on broad datasets, serving as versatile bases for numerous tasks. Two dominant architectures, Transformers for language and Diffusion models for images, define their capabilities and inherent risks like bias and hallucination.
David Katzman·October 15, 2026
Creative AI
Adapting Diffusion Models for High-Quality 3D Asset Generation
Diffusion models are being adapted for high-quality 3D asset generation, moving beyond traditional 3D modeling. Techniques like Score Distillation Sampling (SDS) leverage 2D diffusion models to guide the creation of coherent 3D content from text prompts.
Isabella Rossi·October 1, 2026
Creative AI
What Are Diffusion Models and How Do They Generate Images?
Concerns about data privacy, security, and artistic ethics have emerged with the extensive deployment of diffusion models in image generation, according to opportunities and challenges of diffusion mo
Meera Iyer·August 25, 2026