#generative-design

#generative-design

Three inputs drive the design generation process: typeface, user prompt, and design factors from an image.

TypeDance facilitates personalized generation of semantic typographic logos through a structured workflow involving ideation, selection, generation, evaluation, and iteration.

Semantic typographic logos must balance readability with expressiveness, assessed by TypeDance using a pre-trained CLIP model.

TechCrunch Disrupt 2025 focuses on the intersection of design and machine learning, featuring leaders addressing generative AI and creative innovation.

LogoMotion utilizes an LLM system to enhance content-aware animation and program repair for logo design.

LogoMotion automates the animation of logos from static PDFs by generating JavaScript code for animated rendering.

The Logomotion System integrates visually-grounded code synthesis for dynamic animation generation.

LEORA Studios emphasizes nuanced design, transforming lighting fixtures into emotional and spatial experiences through computational methods.

Jakub Koźniewski's Models of Crisis combines kinetic art and LLMs to represent psychological states through dynamic text and motion.