AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Latest Artificial Intelligence Content News
DeepMind introduces AI agent that learns to complete various tasks in a scalable world model
Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital environments, allowing them to master board games, control simulated robots and reliably tackle various other tasks. Yet most of these systems still depend on enormous amounts of direct experience—millions of trial-and-error interactions—to…
Workflow upscale/magnify video from Sora with Wan , based on cseti007
📦 : https://github.com/lovisdotio/workflow-magnify-upscale-video-comfyui-lovis I did this ComfyUI workflow for Sora 2 upscaling 🚀 ( or any videos ) Progressive magnification + WAN model = crisp 720p output from low-res videos using Llm and Wan Built on cseti007’s workflow (https://github.com/cseti007/ComfyUI-Workflows). Open source ⭐ It does not work super good at keeping…
The Complete Guide to Pydantic for Python Developers
Python’s flexibility with data types is convenient when coding, but it can lead to runtime errors when your code receives unexpected data formats.
Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping
We revisit scene-level 3D object detection as the output of an object-centric framework capable of both localization and mapping using 3D oriented boxes as the underlying geometric primitive. While existing 3D object detection approaches operate globally and implicitly rely on the a priori existence of metric camera poses, our method,…