Zafeirios Fountas, Martin A Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang Huawei’s Noah’s Ark Lab London & University College London.
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Zafeirios Fountas, Martin A Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang Huawei’s Noah’s Ark Lab London & University College London.
- Challenge with…
Join the discussion on this paper page.
A experiment that simulated random interactions for millions of generations led to the emergence of a digital form of life.
Tonight sees the beginning of the year’s popular annual meteor shower that brings the most prolific displays—the Perseids. This year, it will peak in moonless skies.
Existing open-source large multimodal models (LMMs) face several significant limitations.
An international team of researchers led by the University of Bristol has shed light on Earth’s earliest ecosystem, showing that within a few hundred million years of planetary formation, life on Earth was already flourishing.
Spontaneous symmetry breaking and emergent polar order are key to liquid crystal phase behaviour. This study reveals two new polar liquid states with lamellar structures, providing novel insights into electrical analogues of magnetic spin structures.
The $5 billion CopperString project will connect Queensland’s northwest to the grid through an 840km power line running from south of Townsville to Mount Isa.
Set to be finished by 2029, CopperString has been described as the region’s “most transformative project since steam locomotives” in the 19th century.
Posted in futurism
Multimodal Long Story Generation with Large Language Model https://huggingface.co/papers/2407.
With the remarkable advancements in image generation and open-form text generation, the creation of interleaved image-text content has become an…
Contribute to TencentARC/SEED-Story development by creating an account on GitHub.
Difffuse Studio has launched Procedural Crowds Pro, a new and improved version of their popular Geometry Nodes-powered add-on for Blender that enables you to quickly and easily populate your 3D environments with sizeable groups of characters.
Featuring over 30 unique photoscanned character models, the plug-in allows you to generate and customize various types of crowds, with options including an audience crowd, a circle crowd, follow curve, a marching formation, a random crowd, and more. The animations of the human characters will vary depending on the type of crowd you choose, including Idle, Walk, or Cheering. Moreover, the toolset also includes a neat feature that lets you add individual human characters and assign animations from a pre-defined list.