This AI Paper Introduces Ponymation: A New Artificial Intelligence Method for Learning a Generative Model of Articulated 3D Animal Motions from Raw, Unlabeled Online Videos
The captivating domain of 3D animation and modeling, which encompasses creating lifelike three-dimensional representations of objects and living beings, has long intrigued scientific and artistic communities. This area, crucial for…
Nvidia AI Research Unveils ‘Align Your Gaussians’ Approach for Expressive Text-to-4D Synthesis
Creating dynamic 3D scenes through generative modeling holds significant promise for transforming how we develop games, movies, simulations, animations, and virtual environments. Although score distillation techniques are proficient at generating…
Meet PostgresML: An Open-Source Python Library that Integrates with PostgreSQL and has the Ability to Train and Deploy Machine Learning ML Models Directly within the Database Using SQL Queries
A challenge AI engineers face in machine learning is the need for a complex infrastructure to manage models. This often involves intricate setups and microservices to train and deploy models.…
This AI Paper Unveils InternVL: Bridging the Gap in Multi-Modal AGI with a 6 Billion Parameter Vision-Language Foundation Mode
The seamless integration of vision and language has been a focal point of recent advancements in AI. The field has seen significant progress with the advent of LLMs. Yet, developing…
Bytedance Announces DiffPortrait3D: A Novel Zero-Shot View Synthesis AI Method that Extends 2D Stable Diffusion for Generating 3d Consistent Novel Views Given as Little as a Single Portrait
Large Language Models (LLMs) have recently taken over the Artificial Intelligence (AI) community, all thanks to their marvelous capabilities and performance. These models have shown remarkable applications in almost every…
Researchers from MIT and Meta Introduce PlatoNeRF: A Groundbreaking AI Approach to Single-View 3D Reconstruction Using Lidar and Neural Radiance Fields
Researchers from the Massachusetts Institute of Technology(MIT), Meta, and Codec Avatars Lab have addressed the challenging task of single-view 3D reconstruction from a neural radiance field (NeRF) perspective and introduced…
Researchers from Microsoft and Georgia Tech Introduce VCoder: Versatile Vision Encoders for Multimodal Large Language Models
In the evolving landscape of artificial intelligence and machine learning, the integration of visual perception with language processing has become a frontier of innovation. This integration is epitomized in the…
Cohere AI Researchers Investigate Overcoming Quantization Cliffs in Large-Scale Machine Learning Models Through Optimization Techniques
Artificial intelligence’s ascent of large language models (LLMs) has redefined natural language processing. However, deploying these colossal models poses a challenge, with post-training quantization (PTQ) emerging as a critical factor…
Researchers from the National University of Singapore Developed a Groundbreaking RMIA (Robust Membership Inference Attack) Technique for Enhanced Privacy Risk Analysis in Machine Learning
Privacy in machine learning models has become a critical concern owing to Membership Inference Attacks (MIA). These attacks gauge whether specific data points were part of a model’s training data.…
This AI Paper Explores How Vision-Language Models Enhance Autonomous Driving Systems for Better Decision-Making and Interactivity
At the convergence of artificial intelligence, machine learning, and sensor technology, autonomous driving technology aims to develop vehicles that can comprehend their environment and make choices comparable to a human…