Your Daily AI Research tl;dr — 2022–10–31 🧠

A tool for gaining insights from a large image collection, blending two different semantics to create a new concept and improving Text-to-Image Diffusion Generation.

Welcome to your official daily AI research tl;dr (often with code and news) for AI professionals where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating.

1️⃣ MagicMix: Semantic Mixing with Diffusion Models

They explore a new task called semantic mixing, aiming at blending two different semantics to create a new concept (e.g., corgi + coffee machine → corgi-alike coffee machine).

Link to the paper: https://arxiv.org/abs/2210.16056

2️⃣ UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance

They propose an effective approach to unify simple and complex scene image generation combining the power of large-scale Transformer language model in understanding language and image-text matching model in capturing cross-modal semantics and style, is effective to…