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Introducing our new Mapbox Standard style, with 3D urban environments, dynamic lighting, landmark 3D buildings, and an elegant symbolic aesthetic. 📣 Learn more in our announcement post: #mapdesign #mapping #gischat

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Mapbox

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40,332 görüntüleme • 3 yıl önce •via X (Twitter)

Bilim & Teknoloji#mapdesign#mapping#gischat
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A city isn't just roads and buildings, it's the details that make it iconic. Our new 3D landmarks in Osaka feature vibrant billboard visuals and city-defining architecture, helping developers create experiences that feel instantly familiar to users. Take a closer look: #BuiltWithMapbox #MapDesign #LocationIntelligence
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A city isn't just roads and buildings, it's the details that make it iconic. Our new 3D landmarks in Osaka feature vibrant billboard visuals and city-defining architecture, helping developers create experiences that feel instantly familiar to users. Take a closer look: #BuiltWithMapbox #MapDesign #LocationIntelligence

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Learn how to create film-quality 3D environments with Intro to Worldbuilding and Environments, a new workshop from DoubleJump Academy. The workshop covers various techniques for layout, procedural modeling for environments, lighting, and more: #sponsored #ad

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Class is in session! 🔔 Introducing Learning Lab—our new, free crowdfunding course with 8 modules and 26 lessons, created with LaunchBoom. Learn more:
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🚀 Mapbox maps are now part of OpenAI's latest innovation, ChatGPT search! This integration combines OpenAI's advanced language processing with fast, custom maps from Mapbox to enhance location-based insights. Together, we're pioneering the use of AI for location intelligence. 🌍 Read more:
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🚀 Mapbox maps are now part of OpenAI's latest innovation, ChatGPT search! This integration combines OpenAI's advanced language processing with fast, custom maps from Mapbox to enhance location-based insights. Together, we're pioneering the use of AI for location intelligence. 🌍 Read more:

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Get the 🍿 ready, because your movie watching experience just got a whole lot better with spatial audio on #PixelBuds Pro.¹ 🎬 Rich cinema-style surround sound 🔊 Immersive 3D sound effects 👤 360-degree head tracking Learn more on our community post:

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We are excited to introduce Stable Fast 3D, Stability AI’s latest breakthrough in 3D asset generation technology. This innovative model transforms a single input image into a detailed 3D asset in just 0.5 seconds, setting a new standard for speed and quality in the field of 3D reconstruction! Alongside this release, we’ve also published a technical report that highlights how we achieve fast inference speeds with reduced baked illumination and material parameters. 👾You can learn more and access the report here:

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Introducing MON Protocol Partner - Domenation Developed by Blackmouth Games, Domenation (Domenation) is a free-to-play third-person shooter in Unreal Engine 5, setting a new standard for Prime-to-Play games in the Web3 ecosystem with 12 minutes per match with our fresh and dynamic game modes through Domes. More about Domenation here:

MON Protocol 🐉 $MON

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DroneSplat: 3D Gaussian Splatting for Robust 3D Reconstruction from In-the-Wild Drone Imagery Abstract: Drones have become essential tools for reconstructing wild scenes due to their outstanding maneuverability. Recent advances in radiance field methods have achieved remarkable rendering quality, providing a new avenue for 3D reconstruction from drone imagery. However, dynamic distractors in wild environments challenge the static scene assumption in radiance fields, while limited view constraints hinder the accurate capture of underlying scene geometry. To address these challenges, we introduce DroneSplat, a novel framework designed for robust 3D reconstruction from in-the-wild drone imagery. Our method adaptively adjusts masking thresholds by integrating local-global segmentation heuristics with statistical approaches, enabling precise identification and elimination of dynamic distractors in static scenes. We enhance 3D Gaussian Splatting with multi-view stereo predictions and a voxel-guided optimization strategy, supporting high-quality rendering under limited view constraints. For comprehensive evaluation, we provide a drone-captured 3D reconstruction dataset encompassing both dynamic and static scenes. Extensive experiments demonstrate that DroneSplat outperforms both 3DGS and NeRF baselines in handling in-the-wild drone imagery.
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DroneSplat: 3D Gaussian Splatting for Robust 3D Reconstruction from In-the-Wild Drone Imagery Abstract: Drones have become essential tools for reconstructing wild scenes due to their outstanding maneuverability. Recent advances in radiance field methods have achieved remarkable rendering quality, providing a new avenue for 3D reconstruction from drone imagery. However, dynamic distractors in wild environments challenge the static scene assumption in radiance fields, while limited view constraints hinder the accurate capture of underlying scene geometry. To address these challenges, we introduce DroneSplat, a novel framework designed for robust 3D reconstruction from in-the-wild drone imagery. Our method adaptively adjusts masking thresholds by integrating local-global segmentation heuristics with statistical approaches, enabling precise identification and elimination of dynamic distractors in static scenes. We enhance 3D Gaussian Splatting with multi-view stereo predictions and a voxel-guided optimization strategy, supporting high-quality rendering under limited view constraints. For comprehensive evaluation, we provide a drone-captured 3D reconstruction dataset encompassing both dynamic and static scenes. Extensive experiments demonstrate that DroneSplat outperforms both 3DGS and NeRF baselines in handling in-the-wild drone imagery.

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As announced in partnership with NVIDIA at CES, we’re excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)

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Introducing NextUI v2.0! 🎉 Now with Tailwind CSS integration, new components, enhanced customizability, & more. Dive into the features in our latest blog post → ** As always, we would love to hear your thoughts and feedback ❤️

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We’re releasing model weights for our 8B- parameter Dynamic Byte Latent Transformer, an alternative to traditional tokenization methods with the potential to redefine the standards for language model efficiency and reliability. Learn more about how Dynamic Byte Latent Transformer is paving the way for groundbreaking developments in the field of language modeling. Read the research paper, and download the model and code.

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This AI tool will create an entire unit and lesson plans for you in 30 seconds! 😲🫢 Enter your topic and standards, then let Education Copilot do the work! 👀 Learn more in our 💥ALL NEW💥 blog post ⤵️ #interACTIVEclass #AI #EdTech #TEACHers #TeacherTwitter
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This AI tool will create an entire unit and lesson plans for you in 30 seconds! 😲🫢 Enter your topic and standards, then let Education Copilot do the work! 👀 Learn more in our 💥ALL NEW💥 blog post ⤵️ #interACTIVEclass #AI #EdTech #TEACHers #TeacherTwitter

themerrillsedu 👓👗💚 #interACTIVEclass

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Generative 3d environments just became a thing with the announcement of OpenAI's new video model, Sora. Michael Rublof from took one of those videos, and turned it into a NeRF using Colmap and Nerfstudio. While people are laughing at the topology of generated models, the world is changing around us, and that's exciting and a little scary, but we'll find a way to turn Gen Ai into creative superpowers. I believe in human creativity, in our ability to surprise, to move, to change and to challenge. Here's to the future! #ai #art

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ICYMI | Explore CTP's new interactive area of operations map for Boko Haram and the al Qaeda & Islamic State affiliates in West Africa! The update comes with analyses of unfolding campaigns throughout Burkina Faso, Mali, Niger, and Nigeria, complete with interactive local maps. CTP's zone assessments and definitions are based entirely on open-source data from ACLED and CTP and standard insurgency military mapping methodology. You can fact-check for yourself on our website and request more information on our assessments.

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We are pleased to announce the availability of Stable Video 4D, our very first video-to-video generation model that allows users to upload a single video and receive dynamic novel-view videos of eight new angles, delivering a new level of versatility and creativity. In conjunction with this announcement, we are releasing a comprehensive technical report detailing the methodologies, challenges, and breakthroughs achieved during the development of this model. Learn more about this release and access the report here:

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Tried something new today. I made a character based environment and color direction board. First extracting the character’s palette, then translating it into an environment palette, and finally mapping where those colors should appear on the background, midground, foreground, lighting, shadows, and accents. Hard to tell if it’s fully working in this clip, and this might not be the best example, so I’ll test it again with a different style and a longer video, perhaps. This is just me overcomplicating things, 100% not needed. You can get same results with simple prompts and random environments. Prompts below.
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Tried something new today. I made a character based environment and color direction board. First extracting the character’s palette, then translating it into an environment palette, and finally mapping where those colors should appear on the background, midground, foreground, lighting, shadows, and accents. Hard to tell if it’s fully working in this clip, and this might not be the best example, so I’ll test it again with a different style and a longer video, perhaps. This is just me overcomplicating things, 100% not needed. You can get same results with simple prompts and random environments. Prompts below.

Glitter Gal

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