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3D modeling entirely replaced by stick figures. SK-Adapter brings skeleton-based structural control for native 3D. > Feed it a basic skeleton > Type what you want to see > Get a fully rendered 3D character in under 15 seconds > Already rigged and ready for animation > Zero Blender... show more

Wildminder

8,984 subscribers

26,931 次观看 • 5 个月前 •via X (Twitter)

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3D animation and rigging models from Uthana are on Replicate! Turn text into production-ready 3D animation instantly. Just describe a move and get clean FBX/GLB files for Unity or Unreal. Then, take any generated bipedal 3D character and automatically rig it in under 30 seconds with create-character.

3D animation and rigging models from Uthana are on Replicate! Turn text into production-ready 3D animation instantly. Just describe a move and get clean FBX/GLB files for Unity or Unreal. Then, take any generated bipedal 3D character and automatically rig it in under 30 seconds with create-character.

Replicate

19,305 次观看 • 4 个月前

First Sachi 3D file is ready which you are able to use your character where you want in any metaverse, for rendering or in animation as a few example. Use the link below to try it out👇

First Sachi 3D file is ready which you are able to use your character where you want in any metaverse, for rendering or in animation as a few example. Use the link below to try it out👇

LUX

10,795 次观看 • 3 年前

3D $ANIME ? Using 3D in anime or a complete series in 3D style, how does this affect the anime industry? Probably the most hated anime after which people hated 3D in anime was Berserk in 2016, it was really terrible, but 3D in anime is no longer what it was in 2010-20. Let's look at the pros and cons of 3D in anime and what series can be called good 3D anime Pros of 3D Animation: 🟢Dynamic camera angles & smooth motion 🟢Saves time & production costs 🟢Consistent character proportions Cons of 3D Animation: 🔴Can look stiff or "plastic" 🔴Limited facial expressions 🔴Often disliked by traditional anime fans Top 3D $ANIME series in my opinion: 🔵Houseki no Kuni – stunning visuals & fluid animation 🔵Dorohedoro – dark, gritty style perfectly fits CGI 🔵Beastars – expressive character animation 🔵Trigun: Stampede – cinematic action & high-quality CGI The best studio that combines 2D and 3D well is, I think, Ufotable Ufotable blends 2D & 3D seamlessly: 🟡3D backgrounds + 2D character animation 🟡Anime-style shading makes 3D look hand-drawn 🟡Frame-by-frame touch-ups for smooth motion 🟡Mixing 2D effects (fire, water) with 3D for impact Example: "Demon Slayer" – epic battle scenes like Tanjiro’s Water Breathing, using 3D camera movement while preserving 2D aesthetics. Which 3D $ANIME impressed you the most?

3D $ANIME ? Using 3D in anime or a complete series in 3D style, how does this affect the anime industry? Probably the most hated anime after which people hated 3D in anime was Berserk in 2016, it was really terrible, but 3D in anime is no longer what it was in 2010-20. Let's look at the pros and cons of 3D in anime and what series can be called good 3D anime Pros of 3D Animation: 🟢Dynamic camera angles & smooth motion 🟢Saves time & production costs 🟢Consistent character proportions Cons of 3D Animation: 🔴Can look stiff or "plastic" 🔴Limited facial expressions 🔴Often disliked by traditional anime fans Top 3D $ANIME series in my opinion: 🔵Houseki no Kuni – stunning visuals & fluid animation 🔵Dorohedoro – dark, gritty style perfectly fits CGI 🔵Beastars – expressive character animation 🔵Trigun: Stampede – cinematic action & high-quality CGI The best studio that combines 2D and 3D well is, I think, Ufotable Ufotable blends 2D & 3D seamlessly: 🟡3D backgrounds + 2D character animation 🟡Anime-style shading makes 3D look hand-drawn 🟡Frame-by-frame touch-ups for smooth motion 🟡Mixing 2D effects (fire, water) with 3D for impact Example: "Demon Slayer" – epic battle scenes like Tanjiro’s Water Breathing, using 3D camera movement while preserving 2D aesthetics. Which 3D $ANIME impressed you the most?

Kvintestar⛩️ Anime Artist

15,666 次观看 • 1 年前

Hi everyone! I’m happy to share that I’ve been given the opportunity to create a class with Coloso! This low-poly chibi model and animation are what I’ve been building for the class — covering modeling, texturing, rigging, animation, effects, and After Effects compositing. Pre-orders open on Coloso Global next week, and Coloso and I put together a $55 coupon for my followers. Coupon link in the replies! 👇 Coloso Global #Blender #AfterEffects #b3d #3d #animation

Hi everyone! I’m happy to share that I’ve been given the opportunity to create a class with Coloso! This low-poly chibi model and animation are what I’ve been building for the class — covering modeling, texturing, rigging, animation, effects, and After Effects compositing. Pre-orders open on Coloso Global next week, and Coloso and I put together a $55 coupon for my followers. Coupon link in the replies! 👇 Coloso Global #Blender #AfterEffects #b3d #3d #animation

cartridge102

41,758 次观看 • 2 天前

Making 3D animation feel genuinely 2D used to mean manually modeling weird, distorted meshes for every single smear frame. Now, a free Blender add-on handles it automatically. SMEAR—developed as part of a SIGGRAPH 2024 research paper—lets you bake procedural elongated in-betweens, ghosting multiples, and speed lines directly along your object's trajectory. You get full Geometry Node controls over length, noise patterns, and speed thresholds, without destroying your original rig or animation. If you animate in 3D, do you prefer procedural stylization tools like this, or do you still prefer sculpting smear frames by hand? #b3d #3danimation #geometrynodes

Making 3D animation feel genuinely 2D used to mean manually modeling weird, distorted meshes for every single smear frame. Now, a free Blender add-on handles it automatically. SMEAR—developed as part of a SIGGRAPH 2024 research paper—lets you bake procedural elongated in-betweens, ghosting multiples, and speed lines directly along your object's trajectory. You get full Geometry Node controls over length, noise patterns, and speed thresholds, without destroying your original rig or animation. If you animate in 3D, do you prefer procedural stylization tools like this, or do you still prefer sculpting smear frames by hand? #b3d #3danimation #geometrynodes

3DxDEV

54,697 次观看 • 21 天前

HTML enters 3D! Or vice versa? With the new HTML in Canvas by WICG, we can finally put native DOM elements directly into WebGL/WebGPU scenes. It is experimental for now, but the possibilities for 3D interfaces and special effects are huge. This demo was built using Three.js and Omma AI (tool by Spline ) It’s a fun new way to explore what the web can do! Are you interested in seeing the demo?

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Gábor Pribék

176,535 次观看 • 4 个月前

Depth Anything V2 is a total beast for real-time 3D. Built a website that hits 30fps+ depth reconstructions from a single camera feed, extruding 12k voxels via WebGPU. Pure ML running local Vision Transformers with Three.js and zero backend lag. Lmk in the comments if you want a copy! 🙌 Experience and music made with AI in Omma AI (tool by Spline).

Depth Anything V2 is a total beast for real-time 3D. Built a website that hits 30fps+ depth reconstructions from a single camera feed, extruding 12k voxels via WebGPU. Pure ML running local Vision Transformers with Three.js and zero backend lag. Lmk in the comments if you want a copy! 🙌 Experience and music made with AI in Omma AI (tool by Spline).

Gábor Pribék

142,337 次观看 • 4 个月前

Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.

Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.

MrNeRF

52,849 次观看 • 1 年前

Timelapse video of a FTN 300BO Form 1 suppressor being 3d printed in PA6-CF-20 filament. So, serious question... Why haven't you filed your form 1 and 3d printed your own hearing protection? Cost of materials is less than $15 (not including the 3d printer) Private citizens can legally purchase & possess silencers in 42 (yes.. fourty two) states without a permit, and in other states with legal permission. So for under $10, a little paperwork (done and approved BEFORE you begin to make it), and a few minutes assembling & engraving you are done If not now, when?

Timelapse video of a FTN 300BO Form 1 suppressor being 3d printed in PA6-CF-20 filament. So, serious question... Why haven't you filed your form 1 and 3d printed your own hearing protection? Cost of materials is less than $15 (not including the 3d printer) Private citizens can legally purchase & possess silencers in 42 (yes.. fourty two) states without a permit, and in other states with legal permission. So for under $10, a little paperwork (done and approved BEFORE you begin to make it), and a few minutes assembling & engraving you are done If not now, when?

Wny Poker

106,362 次观看 • 8 个月前

✨ 3d models are now LIVE on Photo AI 😊 You can now turn any AI photo you make into a 3d model by pressing [ 📦 Make 3d model ] And then you can view it inside Photo AI or download it as a .GLB 3d model file It's still very early in AI generated 3d model world but it's nice to have this feature working already As always, the models will keep improving, so this feature will keep getting better (like it did with video, it sucked before, now it's getting passable) Next would be nice to switch to .USDZ so you can load it straight into your iPhone with ARKit and put it in your room Available now for everyone on the Premium and Ultra plan

✨ 3d models are now LIVE on Photo AI 😊 You can now turn any AI photo you make into a 3d model by pressing [ 📦 Make 3d model ] And then you can view it inside Photo AI or download it as a .GLB 3d model file It's still very early in AI generated 3d model world but it's nice to have this feature working already As always, the models will keep improving, so this feature will keep getting better (like it did with video, it sucked before, now it's getting passable) Next would be nice to switch to .USDZ so you can load it straight into your iPhone with ARKit and put it in your room Available now for everyone on the Premium and Ultra plan

@levelsio

112,930 次观看 • 1 年前

You can now describe a spaceship to Grok and watch it build in Blender. Not just a rough shape. Grok writes the Python, creates the geometry, materials and rigging, checks its own viewport renders, then keeps fixing what looks wrong. One demo ended with a fully rigged 86,000-triangle spaceship from text alone. That turns 3D modeling from “learn every tool first” into “start with the idea and refine from there.” The default cube should be nervous. Grok SpaceXAI Blender 🔶 / Writer: Annette, Grok Imagine Designer: Janné

You can now describe a spaceship to Grok and watch it build in Blender. Not just a rough shape. Grok writes the Python, creates the geometry, materials and rigging, checks its own viewport renders, then keeps fixing what looks wrong. One demo ended with a fully rigged 86,000-triangle spaceship from text alone. That turns 3D modeling from “learn every tool first” into “start with the idea and refine from there.” The default cube should be nervous. Grok SpaceXAI Blender 🔶 / Writer: Annette, Grok Imagine Designer: Janné

Mario Nawfal

109,786 次观看 • 28 天前

What if you could turn a single 360° photo into a production-ready Isaac Sim environment in minutes? That's exactly what we did here. Using World Labs' Marble and an Insta360 X5 capture (rotating on top), we generated a complete navigable 3D environment and populated it with Lightwheel Sim Ready assets (bottom view). The result? A fully interactive scene in Isaac Sim, ready for sim2real testing,. Navigation, manipulation, or any robotics task you need to validate. What used to take weeks of manual 3D modeling and asset placement now takes minutes. Capture once in the real world, simulate everywhere in your training pipeline. This is the future of robotics development with world models. NVIDIA Robotics NVIDIA Omniverse #Sim2Real #Robotics #Simulation

What if you could turn a single 360° photo into a production-ready Isaac Sim environment in minutes? That's exactly what we did here. Using World Labs' Marble and an Insta360 X5 capture (rotating on top), we generated a complete navigable 3D environment and populated it with Lightwheel Sim Ready assets (bottom view). The result? A fully interactive scene in Isaac Sim, ready for sim2real testing,. Navigation, manipulation, or any robotics task you need to validate. What used to take weeks of manual 3D modeling and asset placement now takes minutes. Capture once in the real world, simulate everywhere in your training pipeline. This is the future of robotics development with world models. NVIDIA Robotics NVIDIA Omniverse #Sim2Real #Robotics #Simulation

Jonathan Stephens

46,643 次观看 • 8 个月前

Seedance 2.0 - Cinematic Summoning VFX Prompt This prompt generates a multi-cut VFX showcase with a clear progression. It’s designed for realistic 3D with grounded physics, natural character motion and readable, production-style VFX. You don’t need to define the summon, but you can specify what is being summoned if you want control. If you leave it open, the model decides based on the character sheet. You can find gpt image 2 character sheet prompt in the quoted post. Also, this isn’t limited to summoning. You can reuse the same VFX structure for anything, just swap the effect logic. Just change the parts about summoning. Prompt in the replies 👇

Seedance 2.0 - Cinematic Summoning VFX Prompt This prompt generates a multi-cut VFX showcase with a clear progression. It’s designed for realistic 3D with grounded physics, natural character motion and readable, production-style VFX. You don’t need to define the summon, but you can specify what is being summoned if you want control. If you leave it open, the model decides based on the character sheet. You can find gpt image 2 character sheet prompt in the quoted post. Also, this isn’t limited to summoning. You can reuse the same VFX structure for anything, just swap the effect logic. Just change the parts about summoning. Prompt in the replies 👇

Kōda

28,400 次观看 • 4 个月前

Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians paper page: Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups. In this paper, we propose Gaussian Head Avatar represented by controllable 3D Gaussians for high-fidelity head avatar modeling. We optimize the neutral 3D Gaussians and a fully learned MLP-based deformation field to capture complex expressions. The two parts benefit each other, thereby our method can model fine-grained dynamic details while ensuring expression accuracy. Furthermore, we devise a well-designed geometry-guided initialization strategy based on implicit SDF and Deep Marching Tetrahedra for the stability and convergence of the training procedure. Experiments show our approach outperforms other state-of-the-art sparse-view methods, achieving ultra high-fidelity rendering quality at 2K resolution even under exaggerated expressions.

AK

65,861 次观看 • 2 年前

This is some quietly impressive work on making video world models actually controllable in 4D space. VerseCrafter lets you take an input image, use something like Blender to animate the 3D camera path and object trajectories, then uses that to condition generation. Scribbling in 2D feels so crude in comparison. The authors represent everything in a shared 4D world state - static background as a point cloud, moving objects as 3D gaussian trajectories. The gaussians are an interesting choice because they capture position, shape, and orientation probabilistically rather than forcing rigid bounding boxes or category specific models like SMPL-X for human bodies. They bolt this onto frozen Wan2.1 with a lightweight adapter, so they get a strong video prior. They also built a pipeline to auto extract 4D annotations from real world videos to train this puppy. It doesn't look sexy yet, but IMO this is the interface video world models need - actual 3D authoring tools to exert control rather than crude scribbles and prompt incantations.

This is some quietly impressive work on making video world models actually controllable in 4D space. VerseCrafter lets you take an input image, use something like Blender to animate the 3D camera path and object trajectories, then uses that to condition generation. Scribbling in 2D feels so crude in comparison. The authors represent everything in a shared 4D world state - static background as a point cloud, moving objects as 3D gaussian trajectories. The gaussians are an interesting choice because they capture position, shape, and orientation probabilistically rather than forcing rigid bounding boxes or category specific models like SMPL-X for human bodies. They bolt this onto frozen Wan2.1 with a lightweight adapter, so they get a strong video prior. They also built a pipeline to auto extract 4D annotations from real world videos to train this puppy. It doesn't look sexy yet, but IMO this is the interface video world models need - actual 3D authoring tools to exert control rather than crude scribbles and prompt incantations.

Bilawal Sidhu

26,017 次观看 • 7 个月前

World Model is trending— let's revisit our HunyuanWorld journey. We’ve been pioneering open-source 3D world generation in the past two months, and this ride’s only getting started. 🌍 📅 July: HunyuanWorld 1.0 📌 First open-source 3D world model compatible with CG pipelines (Unity/Unreal/Blender) 📌 Hit 2K+ GitHub stars in just two months ⭐—thank you for the love! 📅 August: 1.0-Lite 📌Same top-tier quality, running on consumer GPUs! 📅 September: 1.0-Voyager 📌 Direct 3D output + world memory—taking exploration further! Seamlessly integrated into CG pipelines with layered 3D modeling (assets, terrain, skybox) and fully open-sourced.. we’re fully committed to building open-source spatial intelligence for all! 🚀 💡 Why it matters? ✅ Seamless CG Pipeline Integration: Export generated 3D scenes as standard mesh formats, effortlessly integrating into industry-standard tools like Blender, Unity, and Unreal Engine for direct editing, animation, and physical simulation. ✅ Hierarchical Scene Editing: Deconstruct scenes into semantic layers (sky, background, foreground objects) via instance recognition and layer decomposition, allowing for atomic-level control—independently modify, relocate, or replace objects without rebuilding the entire world. Project page: Github: Amazing creations by Stijn Spanhove camenduru GENEL | AIを用いた動画制作 apolinario 🌐 とりにく Directive Creator 🪥 👇 #AI #3DGeneration #OpenSource #WorldModels #Hunyuan3D #HunyuanWorld

World Model is trending— let's revisit our HunyuanWorld journey. We’ve been pioneering open-source 3D world generation in the past two months, and this ride’s only getting started. 🌍 📅 July: HunyuanWorld 1.0 📌 First open-source 3D world model compatible with CG pipelines (Unity/Unreal/Blender) 📌 Hit 2K+ GitHub stars in just two months ⭐—thank you for the love! 📅 August: 1.0-Lite 📌Same top-tier quality, running on consumer GPUs! 📅 September: 1.0-Voyager 📌 Direct 3D output + world memory—taking exploration further! Seamlessly integrated into CG pipelines with layered 3D modeling (assets, terrain, skybox) and fully open-sourced.. we’re fully committed to building open-source spatial intelligence for all! 🚀 💡 Why it matters? ✅ Seamless CG Pipeline Integration: Export generated 3D scenes as standard mesh formats, effortlessly integrating into industry-standard tools like Blender, Unity, and Unreal Engine for direct editing, animation, and physical simulation. ✅ Hierarchical Scene Editing: Deconstruct scenes into semantic layers (sky, background, foreground objects) via instance recognition and layer decomposition, allowing for atomic-level control—independently modify, relocate, or replace objects without rebuilding the entire world. Project page: Github: Amazing creations by Stijn Spanhove camenduru GENEL | AIを用いた動画制作 apolinario 🌐 とりにく Directive Creator 🪥 👇 #AI #3DGeneration #OpenSource #WorldModels #Hunyuan3D #HunyuanWorld

Tencent HY

20,178 次观看 • 11 个月前

Blender just became a prompt box. With Kimi K3 connected through Blender MCP, you can describe a scene like this in plain English and let the model handle the ugly part: terrain, buildings, lighting, materials, camera movement, animation, and the Python scripts holding everything together. The interesting part is not the first render. Kimi can inspect the result, notice that the camera clips through a tree or the city looks suspiciously like plastic, then edit the actual Blender scene and render it again instead of restarting from zero. You still need taste, because “make it cinematic” remains one of humanity’s least useful instructions. But the distance between an empty Blender file and a fully editable 3D world just got embarrassingly small. A few years ago, creating this meant weeks of modeling, scripting, lighting, and animation. Now you can describe the world, watch Kimi build it, and spend your time fixing the final 10% instead of manually constructing the first 90%. Kimi K3 + Blender MCP is basically text-to-3D without trapping the result inside a useless generated video. Every object, material, light, camera, and keyframe stays editable.

Blender just became a prompt box. With Kimi K3 connected through Blender MCP, you can describe a scene like this in plain English and let the model handle the ugly part: terrain, buildings, lighting, materials, camera movement, animation, and the Python scripts holding everything together. The interesting part is not the first render. Kimi can inspect the result, notice that the camera clips through a tree or the city looks suspiciously like plastic, then edit the actual Blender scene and render it again instead of restarting from zero. You still need taste, because “make it cinematic” remains one of humanity’s least useful instructions. But the distance between an empty Blender file and a fully editable 3D world just got embarrassingly small. A few years ago, creating this meant weeks of modeling, scripting, lighting, and animation. Now you can describe the world, watch Kimi build it, and spend your time fixing the final 10% instead of manually constructing the first 90%. Kimi K3 + Blender MCP is basically text-to-3D without trapping the result inside a useless generated video. Every object, material, light, camera, and keyframe stays editable.

Rina

264,903 次观看 • 1 个月前

✦ 3D Model ⋮ showcase ✦ ── .⟢ for Alettie 💖 I’ve had the wonderful opportunity to work on the cutest magical girl design ₊‧°𐐪♡𐑂°‧₊ It was a project full of new challenges for me, and I had to most fun trying to figure out how to best express everything in 3D! My favourite parts have got to be the layered skirt physics and the flounce modelling!! There are still many things I want to showcase for this model (details, mahou props✨, wings animation🪽) so I’ll be posting about them thru the week, I hope y’all won’t get sick of me 🥹 #by_KARIHA

✦ 3D Model ⋮ showcase ✦ ── .⟢ for Alettie 💖 I’ve had the wonderful opportunity to work on the cutest magical girl design ₊‧°𐐪♡𐑂°‧₊ It was a project full of new challenges for me, and I had to most fun trying to figure out how to best express everything in 3D! My favourite parts have got to be the layered skirt physics and the flounce modelling!! There are still many things I want to showcase for this model (details, mahou props✨, wings animation🪽) so I’ll be posting about them thru the week, I hope y’all won’t get sick of me 🥹 #by_KARIHA

𝗞𝗔𝗥𝗜𝗛𝗔 🌘🍀 3D Artist ☻

32,730 次观看 • 2 个月前

PARTNERSHIP: AI is anticipated to reach $1.8 trillion by 2030. The GameFi sector is expected to grow to $50 billion by 2028. The tourism industry is projected to grow to $14 trillion by 2028 and the 3D mapping market is expected to reach $12 billion by 2030. What happens when you bridge these three mega-industries? You get NeoTech, the world's first micro low latency global RWA 3D mapping system. Simply put, Neotech’s technology combines precise 360 high-quality scans and generates point clouds and usable 3D objects of entire cities, counties, and countries. These assets are then tokenized into tradable NFTs, creating opportunities for monetization. The project’s metrics already look stellar: * 500 cities scanned * 25,000+ km of covered area * 7 countries processed * 1,000+ scans ready for deployment $NEOT is coming. Know more on Disclaimer: This is a paid partnership, DYOR as this is not financial advice.

PARTNERSHIP: AI is anticipated to reach $1.8 trillion by 2030. The GameFi sector is expected to grow to $50 billion by 2028. The tourism industry is projected to grow to $14 trillion by 2028 and the 3D mapping market is expected to reach $12 billion by 2030. What happens when you bridge these three mega-industries? You get NeoTech, the world's first micro low latency global RWA 3D mapping system. Simply put, Neotech’s technology combines precise 360 high-quality scans and generates point clouds and usable 3D objects of entire cities, counties, and countries. These assets are then tokenized into tradable NFTs, creating opportunities for monetization. The project’s metrics already look stellar: * 500 cities scanned * 25,000+ km of covered area * 7 countries processed * 1,000+ scans ready for deployment $NEOT is coming. Know more on Disclaimer: This is a paid partnership, DYOR as this is not financial advice.

0xMarioNawfal

50,523 次观看 • 1 年前