The text outlines the advancements in Large Multimodal Models (LMMs) within Generative AI, emphasizing their unique ability to process various data formats including text, images, audio, and video. It elucidates the differences between LMMs and standard Computer Vision algorithms, and highlights the models like GPT4V and Vision Transformers as examples. These models aim to create…

Artificial intelligence is revolutionizing video generation and editing, offering new avenues for creativity. Meta GenAI’s new framework, Fairy, employs instruction-guided video synthesis to create high-quality, high-speed videos. By leveraging cross-frame attention mechanisms and innovative diffusion models, Fairy substantially enhances temporal consistency and video quality, setting a new industry standard.

Large language models (LLMs) like GPT-4 have wide-ranging uses but also raise concerns about potential misuse and ethical implications. FAR AI’s study highlights the susceptibility of LLMs to unethical use, emphasizing the need for proactive security measures. The research underscores the importance of continuous vigilance to ensure the safe and ethical deployment of LLMs.

Ponymation revolutionizes 3D animal motion synthesis by learning from unstructured 2D images and videos, eliminating the need for extensive data collection. Using a transformer-based motion VAE, it generates realistic 3D animations from single 2D images, showcasing versatility and adaptability. This research opens new avenues in digital animation and biological studies, leveraging modern computational methods in…

A team of researchers from NVIDIA, Vector Institute, University of Toronto, and MIT have proposed Align Your Gaussians (AYG), enabling advanced text-to-4D synthesis using dynamic 3D Gaussian Splatting and score distillation through multiple composed diffusion models. AYG’s innovative techniques facilitate extended, realistic 4D scene generation with diverse applications in content creation and synthetic data generation.…

PostgresML is an open-source library that integrates with PostgreSQL, streamlining machine learning operations by allowing the training and deployment of ML models directly within the database using standard SQL queries. It supports GPU-powered inference and more than 50 algorithms for tabular data training, enhancing operational efficiency and simplifying machine learning infrastructure.

InternVL, a groundbreaking model, addresses the development gap between vision models and language models, enhancing AI’s multimodal capabilities. With 6 billion parameters, it excels in various visual-linguistic tasks, outperforming existing methods in 32 benchmarks. This research contributes significantly to advancing AGI systems and has the potential to reshape the future of AI and machine learning.

Large Language Models (LLMs) have revolutionized the AI community with their versatile applications in Natural Language Processing, Natural Language Generation, and Computer Vision. Bytedance’s research introduces DiffPortrait3D, a groundbreaking conditional diffusion model capable of creating photorealistic 3D views from a single portrait, addressing the challenges of view synthesis and creating high-quality facial reconstructions. The model’s…