AI

  Using meticulously detailed models, 3D content production in the metaverse age redefines multimedia experiences in gaming, virtual reality, and film industries. However, designers frequently need help with a time-consuming 3D modeling process, starting with fundamental forms (such as cubes, spheres, or cylinders) and using tools like Blender for exact contouring, detailing, and texturing. Rendering…

  Human scientists can explore the depths of the unknown and make discoveries requiring various undetermined choices. Armed with the body of scientific knowledge at their disposal, human researchers explore uncharted territories and make ground-breaking discoveries in the process. Studies now investigate if building AI research agents with similar capabilities is possible. Open-ended decision-making and…

  Hair is one of the most remarkable features of the human body, impressing with its dynamic qualities that bring scenes to life. Studies have consistently demonstrated that dynamic elements have a stronger appeal and fascination than static images. Social media platforms like TikTok and Instagram witness the daily sharing of vast portrait photos as…

  Neural Radiance Fields (NeRF) is a powerful neural network-based technique for capturing 3D scenes and objects from 2D images or sparse 3D data.NeRF employs a neural network architecture consisting of two main components: the “NeRF in” and the “NeRF out” network. The “NeRF in” network inputs the 2D coordinates of a pixel and the…

  Mistral Trismegistus-7B is a Google AI-developed, gigantic language model trained on an enormous dataset of literature and code that included a sizeable amount of esoteric, occult, and spiritual material. As the first model of its type, it can generate literature, translate languages, write other forms of creative content, and provide enlightening responses to your…

  In an industry where change is the only constant, GPTConsole has introduced a trio of AI agents that stand out for their innovative capabilities. At the forefront is Pixie, an AI agent capable of building full-fledged applications from scratch. Alongside Pixie are two other agents: Chip, designed to assist developers with code-related queries as…

  In computer vision, inferring detailed object shading from a single image has long been challenging. Prior approaches often rely on complex parametric or measured representations, making shading editing daunting. Researchers from Stanford University introduce a solution that utilizes shade tree representations, combining basic shading nodes and compositing methods to break down object surface shading…

  Over recent years, there has been remarkable progress in computer vision methodologies dedicated to reconstructing and illustrating static 3D scenes by leveraging neural radiance fields (NeRFs). Emerging approaches have tried to extend this capability to dynamic scenes by introducing space-time neural radiance fields, commonly called Dynamic NeRFs. Despite these advancements, challenges persist in adapting…

  In the rapidly evolving landscape of text-to-image (T2I) models, a new frontier is emerging with the introduction of GlueGen. T2I models have demonstrated impressive capabilities in generating images from text descriptions, but their rigidity in terms of modifying or enhancing their functionality has been a significant challenge. GlueGen aims to change this paradigm by…

  In artificial intelligence, one of the fundamental challenges has been enabling machines to understand and generate human language in conjunction with various sensory inputs, such as images, videos, audio, and motion signals. This problem has significant implications for multiple applications, including human-computer interaction, content generation, and accessibility. Traditional language models often focus solely on…