UriG
@uri_gadot
Ph.D. candidate @TechnionLive | Reinforcement Learning
Diffusion video models but now - **realtime**! Simple video filters are real-time but can only do basic re-coloring and styles. Video diffusion models (Veo and friends) are magic, but they take many seconds/minutes to generate. MirageLSD is real-time magic. Unlike simple video…
Introducing MirageLSD: The First Live-Stream Diffusion (LSD) AI Model Input any video stream, from a camera or video chat to a computer screen or game, and transform it into any world you desire, in real-time (<40ms latency). Here’s how it works (w/ demo you can use!):
🎉 Today at @DecartAI we're announcing Mirage. The first generative video model that runs in real-time, to infinity. Mirage is a Live Stream Diffusion (LSD), a breakthrough that transforms any video into anything you can imagine, as it plays. 🎮 Try it: mirage.decart.ai
Introducing MirageLSD: The First Live-Stream Diffusion (LSD) AI Model Input any video stream, from a camera or video chat to a computer screen or game, and transform it into any world you desire, in real-time (<40ms latency). Here’s how it works (w/ demo you can use!):
Take a look at Mirage! The first real-time generative video model. Excited to be a part of the team in @DecartAI behind Mirage. Try it out at - mirage.decart.ai
Introducing MirageLSD: The First Live-Stream Diffusion (LSD) AI Model Input any video stream, from a camera or video chat to a computer screen or game, and transform it into any world you desire, in real-time (<40ms latency). Here’s how it works (w/ demo you can use!):
Introducing MirageLSD: The First Live-Stream Diffusion (LSD) AI Model Input any video stream, from a camera or video chat to a computer screen or game, and transform it into any world you desire, in real-time (<40ms latency). Here’s how it works (w/ demo you can use!):
🎉 Thank you @_akhaliq for featuring our work! We’re happy to release the 💻 code & 🤗 Hugging Face demo for Add-it, our #ICLR2025 paper: 💻 Code: github.com/NVlabs/addit 🤗 Demo: huggingface.co/spaces/nvidia/…
Nvidia presents Add-it Training-Free Object Insertion in Images With Pretrained Diffusion Models
מאיפה האיראנים ירו לבאר שבע הבוקר? ניתוח טכני של מידע #אוסינט שממש יצא יפה. #פידמדע #פידצבא יאללה כנסו. 🧵⬇️
One of the biggest bottlenecks in deploying visual AI and computer vision is annotation, which can be both costly and time-consuming. Today, we’re introducing Verified Auto Labeling, a new approach to AI-assisted annotation that achieves up to 95% of human-level performance while…
Want to learn / teach RL? Check out new book draft: Reinforcement Learning - Foundations sites.google.com/view/rlfoundat… W/ @shiemannor and @YishayMansour This is a rigorous first course in RL, based on our teaching at TAU CS and Technion ECE.