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.…

The New York Times sues OpenAI and Microsoft for allegedly using millions of articles to train AI chatbots, which compete with the news outlet. The lawsuit seeks billions in damages and demands the destruction of AI models using copyrighted material. This legal action raises concerns about AI’s impact on journalism and intellectual property.

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…

The text discusses popular loss functions such as MSE, Log Loss, Cross Entropy, and RMSE, highlighting their foundational principles. For more details, refer to the article on Towards Data Science.

The text explores SAC’s groundbreaking role as a data-driven social enterprise. For more information, kindly refer to the full article on Towards Data Science.

The article introduces Grouped Query Attention (GQA), a variation of multi-head attention used in large language models. It explains traditional multi-head attention, multi-query attention, and the emergence of GQA, highlighting its balance between quality and speed by grouping query heads. GQA allows for efficient pre-training and has been utilized in LLM models like LLaMA-2 and…

Researchers from MIT, Meta, and Codec Avatars Lab introduced PlatoNeRF, an innovative method for single-view 3D reconstruction using lidar and neural radiance fields. By leveraging time-of-flight data, PlatoNeRF overcomes limitations of prior methods, enabling reconstruction of both visible and occluded geometry without strict lighting conditions. It outperforms existing methods in various metrics, offering promising advancements…