Meet SDFStudio: An Unified and Modular Framework for Neural Implicit Surface Reconstruction Built on Top of the Nerfstudio Project

Over the past few years, there has been a rapid increase in several computer vision and computer graphics-related fields, especially surface reconstruction. The primary goal of this ever-changing field in 3D scanning is to efficiently recreate surfaces from given point clouds while meeting specific quality criteria. These algorithms aim to estimate the underlying geometry of…

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Web-Scale Training Unleashed: Deepmind Introduces OWLv2 and OWL-ST, the Game-Changing Tools for Open-Vocabulary Object Detection, Powered by Unprecedented Self-Training Techniques

Open-vocabulary object detection is a critical aspect of various real-world computer vision tasks. However, the limited availability of detection training data and the fragility of pre-trained models often lead to subpar performance and scalability issues. To tackle this challenge, the DeepMind research team introduces the OWLv2 model in their latest paper, “Scaling Open-Vocabulary Object Detection.”…

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Meet DORSal: A 3D Structured Diffusion Model for the Generation and Object-Level Editing of 3D Scenes

Artificial Intelligence is evolving with the introduction of Generative AI and Large Language Models (LLMs). Well-known models like GPT, BERT, PaLM, etc., are some great additions to the long list of LLMs that are transforming how humans and computers interact. In image generation, diffusion models have gained significant attention from researchers as these models capture…

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Top Encrypted Email Services in 2023

These days, we can’t imagine life without email. Learning about the various trustworthy email service providers is crucial. People spend hours a day checking business and personal email. Despite its usefulness and efficiency, email has serious security flaws. Not if you’re working with a mainstream service like Gmail or Outlook. Email is a major entry…

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Meet LOMO (LOw-Memory Optimization): A New AI Optimizer that Fuses the Gradient Computation and the Parameter Update in One Step to Reduce Memory Usage

Large Language Models have transformed Natural Language Processing by showcasing amazing skills like emergence and grokking and driving model size to increase continually. The bar for NLP research is raised by training these models with billions of parameters, such as those with 30B to 175B parameters. It is challenging for small labs and businesses to…

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Researchers From ETH Zurich and Max Plank Propose HOOD: A New Method that Leverages Graph Neural Networks, Multi-Level Message Passing, and Unsupervised Training to Enable Efficient Prediction of Realistic Clothing Dynamics

Telepresence, virtual try-on, video games, and many more applications that depend on high-fidelity digital humans require the ability to simulate appealing and realistic clothing behavior. Using simulations based on physical laws is a popular method for producing natural dynamic movements. While physical simulation may provide amazing results, it is expensive to compute, sensitive to beginning…

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Empowering Robots with Complex Task Performance: Meta AI Develops Visual Affordance Model Using Internet Videos of Human Behavior

Meta AI, a leading artificial intelligence (AI) research organization, has recently unveiled a groundbreaking algorithm that promises to revolutionize the field of robotics. In their research paper titled “Affordances from Human Videos as a Versatile Representation for Robotics,” the authors explore the application of YouTube videos as a powerful training tool for robots to learn…

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