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 ...

Do you remember the days when searching for items online meant typing stiff, robotic phrases into search engines? For businesses that sought to boost rankings, this meant identifying valuable terms, ...

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 ...

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 ...

Captivating purple orchid paint match tutorial! Warren Buffett’s No. 1 rule every retiree should live by Pres. Trump demands Iran's 'unconditional surrender' as US., Israel escalate attacks Daniel ...

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 ...

Dating apps like Tinder, Hinge, Bumble, and Grindr are placing big bets on AI-powered matchmaking. They are hoping innovations in the space can combat the app fatigue that has stymied growth.

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 ...