Multi-modal Learning
Aligning visual features with language embeddings is a key challenge in vision-language models (VLMs). The performance of such models …
Scalable Vector Graphics (SVG) offer a powerful format for representing visual designs as interpretable code. Recent advances in …
While image generation techniques are now capable of producing high quality images that respect prompts which span multiple sentences, …
Understanding diverse web data and automating web development presents an exciting challenge for agentic multimodal models. While …
Charts are essential to data analysis, transforming raw data into clear visual representations that support human decision-making. …
Developing autonomous agents that can navigate diverse Graphical User Interfaces (GUIs) and solve complex tasks is essential for …
Scalable Vector Graphics (SVGs) are vital for modern image rendering due to their scalability and versatility. Previous SVG generation …
Aligning visual features with language embeddings is a key challenge in vision-language models (VLMs). The performance of such models …
Multimodal AI has the potential to significantly enhance document-understanding tasks, such as processing receipts, understanding …
We introduce Visual Caption Restoration (VCR), a novel vision-language task that challenges models to accurately restore partially …