Abstract: Flow Matching (FM) is a simulation-free method for learning a continuous, invertible flow that interpolates between two distributions, and in particular generates data from noise. Inspired ...
Discover 20+ tips, tricks, and hidden features of the Insta360 Flow 2 Pro in this complete tutorial. Learn how to unlock its full potential, master advanced settings, and get the most out of your ...
Abstract: Urban traffic flow generation is a critical component of urban planning and management. However, existing models are often insufficient in capturing complex spat-temporal and semantic ...
To create coherent images or videos, generative AI diffusion models like Stable Diffusion or FLUX have typically relied on external "teachers"—frozen encoders like CLIP or DINOv2—to provide the ...
Researchers have discovered the first known Android malware to use generative AI in its execution flow, using Google’s Gemini model to adapt its persistence across different devices. In a report today ...
CEO Spencer Rascoff highlighted the completion of the company's reset phase and emphasized the transition into revitalizing product experiences, stating, "We completed the reset phase by putting user ...
Users across Workspace plans can now use Flow to create videos based on a text prompt or images. Users across Workspace plans can now use Flow to create videos based on a text prompt or images. is a ...
Influence of Device and Format: A Randomized Controlled Trial of an Electronic Health Record–Integrated Symptom Screening Questionnaire for Pediatric Patients With Cancer We created a hybrid ...
Generative models have shown robust performance on speech enhancement and restoration tasks, but most prior approaches operate offline with high latency, making them unsuitable for streaming ...
Our method takes as input a front-view image, a natural-language navigation command with a system prompt, and the ego-vehicle states, and outputs an 8-waypoint future trajectory spanning 4 seconds ...
Official implementation of our TMLR submission investigating optimal source distribution choices for flow matching in generative modeling. We introduce a novel 2D simulation framework that captures ...