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This 3D webpage is highly creative and technically sophisticated. Here are some highlights and details: 1Seamless Scrolling Interaction: Guided by a 3D cat, users can smoothly browse the entire webpage, enjoying a fluid visual experience. ◦Rich 3D Scene Details: ◦Mount Fuji Clouds Unveiling: Presents users with a magnificent opening... scene. ◦Cherry Blossoms Falling in the Hot Spring Scene: Adds a romantic and serene atmosphere. ◦Rising and Falling Cloud Lights in the Gym: Dynamic lighting effects add vitality to the scene. 2Daily Update Scenes: The scenery, hot springs, and gym scenes are not only beautiful but also closely related to daily life, enhancing the sense of immersion. ◦Interactive Details: ◦Breathing Flash Effect on the Cat VR Glasses in the Road Map and Press Subpages: Makes the page more lively. ◦Pixel-Style Cat Paw Mouse Click: Each click has interactive feedback, increasing user engagement. In the NFT market, very few websites can achieve such meticulous design and interactive details. This technical interaction not only enhances the overall experience but also showcases the team’s expertise in creating efficient, interactive, and visually appealing 3D web experiences.show more

Liberty Cats

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10,424 görüntüleme • 2 yıl önce •via X (Twitter)

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three.ws

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three.ws

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🔥 Limited edition drop • 6 conceptual video projects • 15 pieces each 🔴 Red: A dramatic and intense underwater video that captures the bold and passionate reds found in the water. The camera moves through the water, showcasing the rich and vibrant shades of red. Viewers can immerse themselves in the powerful and captivating world of "Red", where excitement and energy abound. 🔵 Blue: This video features a cool-toned underwater environment, with models gracefully swimming and posing amidst blue-tinted lighting. The serene and tranquil atmosphere creates a sense of calm and relaxation. 🔄 Reverse: In this video, the footage is played in reverse, creating a mesmerizing and surreal effect as the models move and interact with the water in unexpected ways. The reversed motion adds an intriguing and otherworldly quality to the underwater scenes. 🪶Sensual: The sensual video showcases intimate and evocative underwater moments, with close-up shots of the models' movements and interactions with the water. The soft, warm lighting enhances the sensuality of the footage, creating a captivating and alluring visual experience. ♥️ Amatory: This video explores themes of love and connection, engaging in tender and affectionate underwater embraces. The romantic and intimate scenes are bathed in a gentle, yellow, red and blue lights, evoking a sense of passion and emotional depth. 👾 Glitch: In this experimental video, the footage is manipulated to create glitchy and distorted visuals, adding an edgy and futuristic element to the underwater scenes. The glitch effects disrupt the natural flow of the footage, resulting in a visually dynamic and unpredictable viewing experience. • First conceptual video and link in next tweet ⤵️

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demidovich.eth | SnapSign 📸

95,223 görüntüleme • 2 yıl önce

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🚀 Announcing Echo — our new frontier model for 3D world generation. Echo turns a simple text prompt or image into a fully explorable, 3D-consistent world. Instead of disconnected views, the result is a single, coherent spatial representation you can move through freely. This is part of a bigger shift in AI: from generating pixels and tokens to generating spaces. Echo predicts a geometry-grounded 3D scene at metric scale, meaning every novel view, depth map, and interaction comes from the same underlying world — not independent hallucinations. Once generated, the world is interactive in real time. You control the camera, explore from any angle, and render instantly — even on low-end hardware, directly in the browser. High-quality 3D world exploration is no longer gated by expensive equipment. Under the hood, Echo infers a physically grounded 3D representation and converts it into a renderable format. For our web demo, we use 3D Gaussian Splatting (3DGS) for fast, GPU-friendly rendering — but the representation itself is flexible and can be easily adapted. Why this matters: consistent 3D worlds unlock real workflows — digital twins, 3D design, game environments, robotics simulation, and more. From a single photo or a line of text, Echo builds worlds that are reliable, editable, and spatially faithful. Echo also enables scene editing and restyling. Change materials, remove or add objects, explore design variations — all while preserving global 3D consistency. Editing no longer breaks the world. This is only the beginning. Echo is the foundation for future world models with dynamics, physical reasoning, and richer interaction — environments that don’t just look right, but behave right. Explore the generated worlds on our website and sign up for the closed beta. The era of spatial intelligence starts here. 🌍 #Echo #WorldModels #SpatialAI #3DFoundationModels Check it out:

SpAItial AI

176,903 görüntüleme • 9 ay önce

This might be the craziest workflow you'll see this week. From #VR greyboxing to 3D worlds with the help of #AI. The 2 tools I used are ShapesXR and Marble from World Labs. Let me tell you why and how. - ShapesXR is the most powerful and fastest way to assemble 3D scenes at scale. - The library of assets + ability to sketch from procedural primitives gives the perfect balance between speed and freedom. - ShapesXR allows you to export your creation as a glTF that can be used as a "3D prompt" into Marble - Marble now allows you to create a panorama using a 3D scene as input increasing DRAMATICALLY the control you have during the creation process - Through the workflow you can adjust textures and objects in the scene using AI inpainting - There are tons of options on how to use the final output (create a #GaussianSplatting, export collision mesh and even a detailed mesh 🤯) This is the perfect examples of how VR creative tools improve and accelerate the design process... so make sure to follow me if that's your jam 😉.

This might be the craziest workflow you'll see this week. From #VR greyboxing to 3D worlds with the help of #AI. The 2 tools I used are ShapesXR and Marble from World Labs. Let me tell you why and how. - ShapesXR is the most powerful and fastest way to assemble 3D scenes at scale. - The library of assets + ability to sketch from procedural primitives gives the perfect balance between speed and freedom. - ShapesXR allows you to export your creation as a glTF that can be used as a "3D prompt" into Marble - Marble now allows you to create a panorama using a 3D scene as input increasing DRAMATICALLY the control you have during the creation process - Through the workflow you can adjust textures and objects in the scene using AI inpainting - There are tons of options on how to use the final output (create a #GaussianSplatting, export collision mesh and even a detailed mesh 🤯) This is the perfect examples of how VR creative tools improve and accelerate the design process... so make sure to follow me if that's your jam 😉.

Gabriele Romagnoli

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LLaVA-3D A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness Recent advancements in Large Multimodal Models (LMMs) have greatly enhanced their proficiency in 2D visual understanding tasks, enabling them to effectively process and understand images and videos. However, the development of LMMs with 3D-awareness for 3D scene understanding has been hindered by the lack of large-scale 3D vision-language datasets and powerful 3D encoders. In this paper, we introduce a simple yet effective framework called LLaVA-3D. Leveraging the strong 2D understanding priors from LLaVA, our LLaVA-3D efficiently adapts LLaVA for 3D scene understanding without compromising 2D understanding capabilities. To achieve this, we employ a simple yet effective representation, 3D Patch, which connects 2D CLIP patch features with their corresponding positions in 3D space. By integrating the 3D Patches into 2D LMMs and employing joint 2D and 3D vision-language instruction tuning, we establish a unified architecture for both 2D image understanding and 3D scene understanding. Experimental results show that LLaVA-3D converges 3.5x faster than existing 3D LMMs when trained on 3D vision-language datasets. Moreover, LLaVA-3D not only achieves state-of-the-art performance across various 3D tasks but also maintains comparable 2D image understanding and vision-language conversation capabilities with LLaVA.

LLaVA-3D A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness Recent advancements in Large Multimodal Models (LMMs) have greatly enhanced their proficiency in 2D visual understanding tasks, enabling them to effectively process and understand images and videos. However, the development of LMMs with 3D-awareness for 3D scene understanding has been hindered by the lack of large-scale 3D vision-language datasets and powerful 3D encoders. In this paper, we introduce a simple yet effective framework called LLaVA-3D. Leveraging the strong 2D understanding priors from LLaVA, our LLaVA-3D efficiently adapts LLaVA for 3D scene understanding without compromising 2D understanding capabilities. To achieve this, we employ a simple yet effective representation, 3D Patch, which connects 2D CLIP patch features with their corresponding positions in 3D space. By integrating the 3D Patches into 2D LMMs and employing joint 2D and 3D vision-language instruction tuning, we establish a unified architecture for both 2D image understanding and 3D scene understanding. Experimental results show that LLaVA-3D converges 3.5x faster than existing 3D LMMs when trained on 3D vision-language datasets. Moreover, LLaVA-3D not only achieves state-of-the-art performance across various 3D tasks but also maintains comparable 2D image understanding and vision-language conversation capabilities with LLaVA.

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Introducing the 10Ka Team 🤝 We've curated a team of exceptionally skilled individuals, each a trailblazer in their respective fields. Together, we possess all the necessary ingredients to realize our vision of becoming the premier project for digital fashion. Let's dive in 👇🏼 Diana Cañas: Breaking Barriers: Diana Cañas Leads the Way in NFT and Digital Fashion Empowerment. As the founder and CEO of 10ka NFT, Diana has taken the industry by storm, brilliantly combining her love for fashion with cutting-edge technologies like NFTs and NFCs. This unique fusion enables her to push the boundaries of the digital fashion realm. Ronin Studio: Ronin is a versatile creative studio specializing in corporate identity and character creation, along with UI/UX design. “Driven by a dedication to emerging trends and artistic/technological innovation, we draw inspiration from both the past and the future of design. Our approach is inherently disruptive, always encouraging us to think beyond conventional boundaries.” Tripton: We are a dynamic creative studio with expertise in 3D production, Visual Shows, and Virtual and Augmented Reality. “Fueled by a passion for pioneering technologies and groundbreaking ideas, we draw inspiration from eminent artists across advertising design, 3D animation, and the broader audiovisual realm.” Virtuozo: Virtuozo is a studio renowned for crafting immersive 3D worlds and captivating virtual experiences. At the helm is our lead 3D generalist, a virtuoso in every sense of the word. With mastery over the craft, he meticulously crafts realistic and aesthetically pleasing 3D models, textures, and animations using state-of-the-art technology. Cristian Torrijos: Blockchain Developer (Solidity, Smart Contracts, Web3) and expert in PHP, MySQL, and ReactJS. “Specializing in the development of Web3 and Web2 projects, we ensure the quality and longevity of our creations, delivering projects that are not only innovative but also enduring.” Domi Vakero: Digital Artist from the South of Spain proficient in 2D, 3D, and AI. With extensive expertise in the illustration and modeling of both 2D and 3D characters, we bring visions to life with creativity and precision. This is just some of the extensive team behind 10KA. We are dedicated to building & becoming one of the leading projects on Ethereum 🫡

10KA👟

39,304 görüntüleme • 2 yıl önce

Tencent presents TIP-Editor An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts paper page: Text-driven 3D scene editing has gained significant attention owing to its convenience and user-friendliness. However, existing methods still lack accurate control of the specified appearance and location of the editing result due to the inherent limitations of the text description. To this end, we propose a 3D scene editing framework, TIPEditor, that accepts both text and image prompts and a 3D bounding box to specify the editing region. With the image prompt, users can conveniently specify the detailed appearance/style of the target content in complement to the text description, enabling accurate control of the appearance. Specifically, TIP-Editor employs a stepwise 2D personalization strategy to better learn the representation of the existing scene and the reference image, in which a localization loss is proposed to encourage correct object placement as specified by the bounding box. Additionally, TIPEditor utilizes explicit and flexible 3D Gaussian splatting as the 3D representation to facilitate local editing while keeping the background unchanged. Extensive experiments have demonstrated that TIP-Editor conducts accurate editing following the text and image prompts in the specified bounding box region, consistently outperforming the baselines in editing quality, and the alignment to the prompts, qualitatively and quantitatively.

Tencent presents TIP-Editor An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts paper page: Text-driven 3D scene editing has gained significant attention owing to its convenience and user-friendliness. However, existing methods still lack accurate control of the specified appearance and location of the editing result due to the inherent limitations of the text description. To this end, we propose a 3D scene editing framework, TIPEditor, that accepts both text and image prompts and a 3D bounding box to specify the editing region. With the image prompt, users can conveniently specify the detailed appearance/style of the target content in complement to the text description, enabling accurate control of the appearance. Specifically, TIP-Editor employs a stepwise 2D personalization strategy to better learn the representation of the existing scene and the reference image, in which a localization loss is proposed to encourage correct object placement as specified by the bounding box. Additionally, TIPEditor utilizes explicit and flexible 3D Gaussian splatting as the 3D representation to facilitate local editing while keeping the background unchanged. Extensive experiments have demonstrated that TIP-Editor conducts accurate editing following the text and image prompts in the specified bounding box region, consistently outperforming the baselines in editing quality, and the alignment to the prompts, qualitatively and quantitatively.

AK

56,428 görüntüleme • 2 yıl önce

2D is what the camera sees.👀 3D is what the world is. 🌍 Today, we’re proudly open-sourcing QuerySplat — an open-source feed-forward 3D model that turns a few unposed images into a navigable 3D scene in seconds (run on 4090🪶). Your input: a few unposed images Our output: a sharp, navigable 3D scene — generated in seconds! 🚀 🧠 organize scenes with 3D queries, not pixel-bound Gaussians 📷 no camera poses or manual calibration required ⚡ reconstruct new scenes in a single forward pass ✨ preserve sharp geometry and high-frequency appearance 🏆 achieve state-of-the-art results on DL3DV-Evaluation 🔓 code and model weights are now open-source From pixels to scenes, we are making 3D generation scalable. Try our free iOS app — it’s a lot of fun! 😆 🔗 Try it on the Web: 🔗 Paper: 🔗 Code & weights: 🔗 Project page: 🔗 #AIGC #3DGS #AI #Computervision #3D #artist #3dartist #3d

2D is what the camera sees.👀 3D is what the world is. 🌍 Today, we’re proudly open-sourcing QuerySplat — an open-source feed-forward 3D model that turns a few unposed images into a navigable 3D scene in seconds (run on 4090🪶). Your input: a few unposed images Our output: a sharp, navigable 3D scene — generated in seconds! 🚀 🧠 organize scenes with 3D queries, not pixel-bound Gaussians 📷 no camera poses or manual calibration required ⚡ reconstruct new scenes in a single forward pass ✨ preserve sharp geometry and high-frequency appearance 🏆 achieve state-of-the-art results on DL3DV-Evaluation 🔓 code and model weights are now open-source From pixels to scenes, we are making 3D generation scalable. Try our free iOS app — it’s a lot of fun! 😆 🔗 Try it on the Web: 🔗 Paper: 🔗 Code & weights: 🔗 Project page: 🔗 #AIGC #3DGS #AI #Computervision #3D #artist #3dartist #3d

InSpatio｜影溯

29,806 görüntüleme • 1 ay önce

The Brake-To-Vacate (BTV) function on the Airbus A350 is nothing short of revolutionary for aviation enthusiasts and professional pilots alike. This advanced autobraking system transforms the landing experience by allowing pilots to choose a specific runway exit prior to landing, managing the braking process to achieve an optimal deceleration profile. This not only enhances safety but also significantly reduces Runway Occupancy Time (ROT), leading to more efficient air traffic flow. What makes the BTV system particularly impressive is its integration with other aircraft systems such as Auto Thrust Idle, Spoilers, and Reversers. This ensures that the deceleration is controlled smoothly and efficiently, adapting in real-time to any changes in conditions such as tailwinds or reduced braking action. Pilots can override the system via the red instinctive push buttons on the ThrustLevers or via the manual selection of toe braking. The accuracy and innovation of the BTV feature is mirrored in the @inibuildsofficial A350 Airliner Microsoft Flight Simulator (MSFS) add-on. This add-on captures the intricate details and functions of the real-life BTV system, providing an unparalleled simulation experience. It accurately models the pre-landing setup process, allowing virtual pilots to input their chosen runway exit via the Multi-Function Display (MFD) and experience the precise and efficient braking that the system offers. For flight simulation enthusiasts, the IniBuilt A350 add-on brings the cutting-edge technology of the A350 into the virtual world, allowing users to appreciate the intricacies and benefits of the BTV system. It’s a testament to how advanced these simulations have become, reflecting the high standards of accuracy and detail that modern flight sim add-ons strive for. In essence, the BTV function on the A350, both in real life and in the IniBuilds add-on, showcases a leap forward in aviation technology, enhancing the landing experience through precision and efficiency, and providing a realistic and engaging experience for users of the flight simulator. 📸 by ig/captainchris

aircraftmaintenancengineer

82,572 görüntüleme • 1 yıl önce

Turn a single 2D image into a fully interactive, animated 3D character - running directly in your browser.🥊 This is the Ringside Boxer, built with img2threejs v1.5.1. Live showcase: 2D Image → 3D Reconstruction (TripoAI/Hyper3D) → Reference GLB + Specs → Rig & Animation Setup → Animation Loops → Physics VFX → Playable Three.js Scene ( 100% pure typescript ) 🔥 Under the hood: • ~97.5K triangle 3D reconstruction • 41-bone character rig • 19 combat animation clips • Jab, Hook, Body Shot, Footwork, Victory, Defeat & more • Physics-based sweat particles with gravity • Impact shock-ring VFX • Fully interactive 360° orbit + zoom And the important part: 1. The final result is generated as pure Three.js + TypeScript code. 2. No traditional 3D authoring workflow. 3. No Blender setup. 4. Just code that can be inspected, modified, and dropped directly into a WebGL experience. This is where I want img2threejs to go: Image → 3D → Animation → Interactive Web Experience. And this is only v1.5.1. 🚀 #ThreeJS #GameDev #TypeScript #Web3D #img2threejs

Turn a single 2D image into a fully interactive, animated 3D character - running directly in your browser.🥊 This is the Ringside Boxer, built with img2threejs v1.5.1. Live showcase: 2D Image → 3D Reconstruction (TripoAI/Hyper3D) → Reference GLB + Specs → Rig & Animation Setup → Animation Loops → Physics VFX → Playable Three.js Scene ( 100% pure typescript ) 🔥 Under the hood: • ~97.5K triangle 3D reconstruction • 41-bone character rig • 19 combat animation clips • Jab, Hook, Body Shot, Footwork, Victory, Defeat & more • Physics-based sweat particles with gravity • Impact shock-ring VFX • Fully interactive 360° orbit + zoom And the important part: 1. The final result is generated as pure Three.js + TypeScript code. 2. No traditional 3D authoring workflow. 3. No Blender setup. 4. Just code that can be inspected, modified, and dropped directly into a WebGL experience. This is where I want img2threejs to go: Image → 3D → Animation → Interactive Web Experience. And this is only v1.5.1. 🚀 #ThreeJS #GameDev #TypeScript #Web3D #img2threejs

Nick

47,538 görüntüleme • 15 gün önce

GeoLibre v1.10.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings photorealistic city-scale 3D to the map, adds OGC API vector tiles, and makes vector tiles and live editing easier to work with. What's new in v1.10.0 - Google Photorealistic 3D Tiles: drape entire cities in photorealistic 3D right in the map, streamed and rendered through - ArcGIS I3S scene layers: stream Integrated Mesh and 3D Object scene layers and render them in 3D on the shared instance. - OGC API vector tiles: add standards-based OGC API - Tiles vector tile services as a remote source, right alongside XYZ and ArcGIS vector tiles. - Local HDF5 and NetCDF-4 loading: open scientific HDF5 and NetCDF-4 files straight from disk, no cloud references required. - GeoEditor from the current view: pull the vector features currently visible in the map into the GeoEditor and start editing what you are looking at, without re-importing the source data. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre

GeoLibre v1.10.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings photorealistic city-scale 3D to the map, adds OGC API vector tiles, and makes vector tiles and live editing easier to work with. What's new in v1.10.0 - Google Photorealistic 3D Tiles: drape entire cities in photorealistic 3D right in the map, streamed and rendered through - ArcGIS I3S scene layers: stream Integrated Mesh and 3D Object scene layers and render them in 3D on the shared instance. - OGC API vector tiles: add standards-based OGC API - Tiles vector tile services as a remote source, right alongside XYZ and ArcGIS vector tiles. - Local HDF5 and NetCDF-4 loading: open scientific HDF5 and NetCDF-4 files straight from disk, no cloud references required. - GeoEditor from the current view: pull the vector features currently visible in the map into the GeoEditor and start editing what you are looking at, without re-importing the source data. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre

Qiusheng Wu

24,578 görüntüleme • 2 ay önce

“Prototyping in Figma has completely transformed how I approach design. It’s not just about creating static screens; it’s about crafting a smooth, interactive experience that feels real to the user. When you bring your design elements to life, you’re able to see how each piece connects, spot any weak areas, and get feedback early on. One tip? Start simple. Focus on key interactions before diving into details. This lets you test the overall flow and make adjustments as needed without getting bogged down. Figma’s prototyping make it easy to add transitions, animations, and micro-interactions that bring the entire design together. The best part? It’s collaborative. Team members, stakeholders, and users can interact with your prototype and provide insights that really help you refine the design. Let me know if we should host a Space on this over the weekend. Will be glad to give more tips! Here is another prototype made with ❤️❤️❤️ in Figma #Figma #Prototyping #UXDesign #DesignProcess #InteractiveDesign”

“Prototyping in Figma has completely transformed how I approach design. It’s not just about creating static screens; it’s about crafting a smooth, interactive experience that feels real to the user. When you bring your design elements to life, you’re able to see how each piece connects, spot any weak areas, and get feedback early on. One tip? Start simple. Focus on key interactions before diving into details. This lets you test the overall flow and make adjustments as needed without getting bogged down. Figma’s prototyping make it easy to add transitions, animations, and micro-interactions that bring the entire design together. The best part? It’s collaborative. Team members, stakeholders, and users can interact with your prototype and provide insights that really help you refine the design. Let me know if we should host a Space on this over the weekend. Will be glad to give more tips! Here is another prototype made with ❤️❤️❤️ in Figma #Figma #Prototyping #UXDesign #DesignProcess #InteractiveDesign”

designwithkingsley

44,251 görüntüleme • 1 yıl önce