Загрузка видео...

Не удалось загрузить видео

На главную

Finally got something to show - we're working on a new 3D library for React Native! 👀🧊 👉 Powered by native Graphics APIs (Metal/Vulkan) 👉 Full control over rendering in JS 👉 120 FPS rendering on a Worklet Thread (no lags!) 👉 Supports hotswapping .glb/.gltf models

86,147 просмотров • 2 лет назад •via X (Twitter)

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

🪴 GT Protocol Monthly Recap: May 2026 May focused on launching advanced trading infrastructure, introducing AI risk-management tools, and shipping major platform upgrades. 🚀 Hyperliquid Vaults Live Run multiple algorithmic strategies on a single Hyperliquid Vault inside GT App. Enjoy automated execution, auto-rebalancing, and protocol-level security. You can find Vault trading on the Hyperliquid exchange account connection page in the Trade on Vault section. Try it in GT App 👉 🤖 AI Hedge Fund Experiment Live An experimental AI Hedge Fund powered by 5 independent LLM models is live on Hyperliquid. Each model manages $10,000 to test different AI trading personalities and allocation strategies. Discover it now here 👉 📈 Isolated Margin & AI Risk Tools Isolated Margin is live across GT App for precise risk management. Enhanced with AI-powered logic, it assists with dynamic asset monitoring and smarter strategy deployment. Try it in GT App 👉 🔥 Top Strategy Performance Top trader strategies like "lebakien" achieved over +141% profit this month. Users can explore metrics and follow the strategies of top traders directly in the marketplace. Explore Marketplace 👉 🛠 Key Product Updates ⚙️ Strategy Discovery: enhanced demo trading flows and top trader strategy integration. ⚙️ AI Strategy Chat: demoed a flow to create, launch, and test strategies via natural language chat. ⚙️ Advanced Execution: added manual safety orders for granular control over active positions. ⚙️ Testing & Validation: optimized historical data validation for more accurate strategy testing. ⚙️ Knowledge Hub: launched GT Protocol Learn and a new Knowledge Base for streamlined support. ⚙️ Performance: upgraded website structure and improved overall page responsiveness. Find all the latest GT App updates Here 👉 Discover guides, insights, and resources in Learn 👉 and Knowledge Base 👉 📰 GT Protocol AI Digests 4 new AI Digest issues (No.89–92) are live on Medium, covering AI-native hardware, data privacy, and the evolution of AI agents. Read More 👉 May brought institutional-grade AI strategy management closer to every user.

GT Protocol

32,774 просмотров • 1 месяц назад

3D Gaussian Splatting for Real-Time Radiance Field Rendering paper page: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.

AK

633,532 просмотров • 2 лет назад

📢 Our lab has been exploring 3D world models for years — and we’re thrilled to share **PhysTwin**: a milestone that reconstructs object appearance, geometry, and dynamics from just a few seconds of interaction! Led by the amazing Hanxiao Jiang 👉 PhysTwin combines **Gaussian splatting** with **inverse dynamics optimization** based on simple **spring-mass** systems. ⚙️ The result? Real-time, action-conditioned 3D video prediction under novel interactions (i.e., 3D world models). 🔑 A few key takeaways: 1. Having the right structure (e.g., particles/masses) helps navigate the trade-off between sample efficiency, generalization, and broad applicability. 2. Visual foundation models (VFMs) have matured to the point where they can provide rich supervision for world modeling (e.g., tracking, shape completion). 3. Beyond VFMs, many crucial components have come together in recent years: Gaussian splats for rendering, NVIDIA Warp for high-performance simulation, and scene/asset generation from a wide range of labs and companies. The future of 3D world models is looking bright! ✨ 4. The resulting digital twin supports a wide range of downstream applications—especially in data generation and policy evaluation, thanks to its realistic rendering and simulation capabilities. 🎥 All code and data to reproduce the results, along with interactive demos, are available on the website. Check the following visualizations of: (1) observations, (2) reconstructed state/actions, (3) interactive digital twins, and (4) the overlays between real-world robot teleoperation and our model’s open-loop predictions.

Yunzhu Li

25,279 просмотров • 1 год назад

How do you get the biggest SKR airdrop allocation with the least effort? 📱🪂 Not everyone has time to grind Seeker activity every day. But everyone wants a solid SKR airdrop when Season 2 ends. Here are 5 ways to maximise your activity with minimal effort 👇 1️⃣ SKR Staking ✅ One of the strongest passive actions in Season 2 👉 Zero ongoing effort after setup 👉 Stake inside Seed Vault Wallet (Activity tab) 👉 Or at ✅ Compounds every 48h automatically 👉 Unstaking cooldown is only 48h - never locked in 👉 Strong loyalty signal 👉 Counts directly toward Onchain Activity ✅ Passive SKR accumulation + inflation rewards 👉 One setup, long-term impact for the next airdrop 2️⃣ Daily Use ✅ Already done if Seeker is your main phone ✅ Secondary device? One simple habit 👉 Open Seed Vault Wallet + 3–4 apps once a day 👉 Takes under 60 seconds 👉 Full “Daily Use” bar from this alone ✅ No grinding required 👉 Consistency over 7 days beats any single burst 👉 Fits into any routine 3️⃣ dApp Exploration ✅ 10 minutes a week is enough 👉 Open dApp Store → browse Featured or New 👉 Download 1–3 apps → open each → connect wallet ✅ No deep usage required 👉 The tracker rewards discovery 👉 Fills the “ New Things “ bar weekly 4️⃣ Onchain Activity ✅ 30-day rolling window 👉 Regularity beats volume ✅ Minimum effective dose: 1–3 txns per day 👉 Micro Jupiter swap: 0.01 SOL or less 👉 One swap, seconds of effort 👉 Do it from your pocket ✅ Bar climbs steadily without grinding 👉 Small consistent txns outperform sporadic bursts 👉 Cost is near zero 5️⃣ DePIN Background Apps ✅ Install once, runs 24/7 👉 No daily action needed 👉 Each generates on-chain activity automatically 👉 Also counts toward dApp Exploration ✅ Four apps to install from the dApp Store 👉 UpRock - share bandwidth, earn $UPT 👉 Roam - hotspot sharing, earn $ROAM 👉 WeatherXM - weather data, earn $WXM + 25% station discount 👉 Helium Mobile ☁️ - free Zero plan (3GB/100min/300 texts) + Cloud Points ✅ Passive activity across multiple bars simultaneously 👉 Extra token rewards on top of SKR 👉 Setup: ~10 min total, zero effort after 6️⃣ Overview ✅ The full routine is simple 👉 Daily: open wallet + optional micro swap 👉 Weekly: install 1–3 new dApps 👉 Forever: SKR staked + 4 DePIN apps running ✅ Avoid automation tools 👉 Diagnostics flag patterns - manual only ✅ Season 2 rewards consistency, not bursts 🔚

Marino

15,700 просмотров • 3 месяцев назад