7 articles mentioning Magic-Wan-T2IV-V3
arXiv:2604.12113v1 Announce Type: cross Abstract: Visual Foundation Models (VFMs) such as the Segment Anything Model (SAM) have significantly advanced broad use of image segmentation. However, SAM and its variants necessitate substantial manual effort for prompt generation and additional training fo
arXiv:2604.04786v1 Announce Type: cross Abstract: This paper presents a quantum search approach to combinatorial constraint satisfaction problems, demonstrated through the generation of magic squares. We reformulate magic square construction as a quantum search problem in which a reversible, constra
arXiv:2604.01504v1 Announce Type: new Abstract: Research on Large Language Models (LLMs) studies output variation across generation, reasoning, alignment, and representational analysis, often under the umbrella of "diversity." Yet the terminology remains fragmented, largely because the normative obj
arXiv:2603.26898v2 Announce Type: replace-cross Abstract: Political scientists are rapidly adopting large language models (LLMs) for text annotation, yet the sensitivity of annotation results to implementation choices remains poorly understood. Most evaluations test a single model or configuration;
OpenAI and NORAD are bringing new magic to “NORAD Tracks Santa” with three ChatGPT holiday tools that let families create festive elves, toy coloring pages, and custom Christmas stories.
OpenAI and Mattel are partnering to integrate AI into iconic brands such as Barbie and Hot Wheels, aiming to enhance creative development, streamline workflows, and create new ways for fans to engage.
Canva is a visual communication platform, enjoyed by more than 175 million people monthly to make presentations, videos, documents, websites, social media graphics and more. A majority of the world’s knowledge workers lack design training, but Canva’s combination of an easy-to-use interface, vast li