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🚀 Tencent 𝗛𝗬-𝗪𝗼𝗿𝗹𝗱 𝟮.𝟬 just dropped Text or image → 3D world (3DGS + Mesh). Fully automatic. Video world models let you 𝘄𝗮𝘁𝗰𝗵. We let you 𝗲𝘅𝗽𝗹𝗼𝗿𝗲. #worldmodel #HYWorld

Tengfei Wang

3,686 subscribers

17,998 次观看 • 5 个月前 •via X (Twitter)

#worldmodel #HYWorld

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.Tencent Hy HY-World 2.0 has landed,fully OPEN SOURCE ! We kept hearing the same thing: world models look great, but you can't use the output. So we made one you can, real 3D assets you can edit, rearrange, and ship into production. Prompt to engine-ready 3D. For real this time： ✨Directly outputs editable, production-ready 3D assets ✨Seamlessly plugs into existing game pipelines ✨Multimodal input: text, image, videos 🪄Character mode: freely explore streets, buildings, and open worlds with realistic physics, collisions, and no time limits 🔗GitHub:

.Tencent Hy HY-World 2.0 has landed,fully OPEN SOURCE ! We kept hearing the same thing: world models look great, but you can't use the output. So we made one you can, real 3D assets you can edit, rearrange, and ship into production. Prompt to engine-ready 3D. For real this time： ✨Directly outputs editable, production-ready 3D assets ✨Seamlessly plugs into existing game pipelines ✨Multimodal input: text, image, videos 🪄Character mode: freely explore streets, buildings, and open worlds with realistic physics, collisions, and no time limits 🔗GitHub:

Tencent AI

116,884 次观看 • 5 个月前

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

Bilawal Sidhu

92,919 次观看 • 2 年前

(1/3) Can we turn text-to-image models into photorealistic 3D generators? ViewDiff (#CVPR2024) produces realistic, multi-view consistent images of real-world 3D objects in authentic surroundings. Website Video How does it work?

(1/3) Can we turn text-to-image models into photorealistic 3D generators? ViewDiff (#CVPR2024) produces realistic, multi-view consistent images of real-world 3D objects in authentic surroundings. Website Video How does it work?

Matthias Niessner

34,779 次观看 • 2 年前

🌐 Incredibly happy to share Project Genie with the world. We announced Genie 3 in August, and since then the team worked hard to make it available to more people. Starting today, Project Genie is available to all Ultra subscribers in the US. Create an interactive world from any text prompt or image, tweak it and walk into the world you just created! Can't wait to see what you create with it 🚀🧞

🌐 Incredibly happy to share Project Genie with the world. We announced Genie 3 in August, and since then the team worked hard to make it available to more people. Starting today, Project Genie is available to all Ultra subscribers in the US. Create an interactive world from any text prompt or image, tweak it and walk into the world you just created! Can't wait to see what you create with it 🚀🧞

Shlomi Fruchter

34,622 次观看 • 8 个月前

🚀 Our UI just leveled up at ! Now you can pick the best creation bot for image, video, music, logo and more. Or let NFPengu match you with the perfect one at ✨ Smarter flows, faster results. Dive in now. 🐧 $NFP

NFP

10,770 次观看 • 1 年前

“we shouldn’t let negativity break us down. we shouldn’t let negativity become the main vibe for what we have.” mark really has such a comforting presence and brings so much positivity into this world just by being himself :( i hope the world is always kind to you, markie ♥️

“we shouldn’t let negativity break us down. we shouldn’t let negativity become the main vibe for what we have.” mark really has such a comforting presence and brings so much positivity into this world just by being himself :( i hope the world is always kind to you, markie ♥️

sell

11,117 次观看 • 4 个月前

ABot World 0.5B is out! we have now world models at home, running in real-time on consumer GPU feed it an initial image, steer it with with your keyboard 🌎 you can run it locally or play now on spaces ▶️

ABot World 0.5B is out! we have now world models at home, running in real-time on consumer GPU feed it an initial image, steer it with with your keyboard 🌎 you can run it locally or play now on spaces ▶️

Hugging Apps

141,113 次观看 • 2 个月前

🤩Video world models are cool, but it is cooler if they can simulate any 3D physical actions in real time! Introducing RealWonder⚡️: Now you can simulate 3D physical action (robot actions, 3D forces, force fields, etc.) consequences from a single image in real time! 🧵1/6

🤩Video world models are cool, but it is cooler if they can simulate any 3D physical actions in real time! Introducing RealWonder⚡️: Now you can simulate 3D physical action (robot actions, 3D forces, force fields, etc.) consequences from a single image in real time! 🧵1/6

Hong-Xing (Koven) Yu

30,524 次观看 • 7 个月前

🚀 Introducing GenLit – Reformulating Single-Image Relighting as Video Generation! We leverage video diffusion models to perform realistic near-field relighting from just a single image—No explicit 3D reconstruction or ray tracing required! No intermediate graphics buffers, directly in the pixel space! 📄 Dive into the paper: 🎥 Project page & demos: 🛠 Code coming soon! #GenerativeAI #ComputerVision #Relighting #DiffusionModels #Graphics 🧵 1/5

🚀 Introducing GenLit – Reformulating Single-Image Relighting as Video Generation! We leverage video diffusion models to perform realistic near-field relighting from just a single image—No explicit 3D reconstruction or ray tracing required! No intermediate graphics buffers, directly in the pixel space! 📄 Dive into the paper: 🎥 Project page & demos: 🛠 Code coming soon! #GenerativeAI #ComputerVision #Relighting #DiffusionModels #Graphics 🧵 1/5

Haven Feng

22,474 次观看 • 1 年前

2023 was the year of AI avatars 2024 was the year of AI photos 2025 was the year of AI videos And I think it's becoming clear now that 2026 will be the year of AI world models Fully interactive explorable 3d worlds generated from one or multiple 2d images or a prompt In turn these 2d images can then be generated by AI too So soon you can generate fully explorable virtual 3d worlds based on your own imagination Next will be figuring out how to make those worlds interactive This is World Labs (unaffiliated, but I like it) As always a lot of big AI model companies are now working on the same thing: 3d world models, only World Labs has a real properly working demo (for now) Very exciting time again!

2023 was the year of AI avatars 2024 was the year of AI photos 2025 was the year of AI videos And I think it's becoming clear now that 2026 will be the year of AI world models Fully interactive explorable 3d worlds generated from one or multiple 2d images or a prompt In turn these 2d images can then be generated by AI too So soon you can generate fully explorable virtual 3d worlds based on your own imagination Next will be figuring out how to make those worlds interactive This is World Labs (unaffiliated, but I like it) As always a lot of big AI model companies are now working on the same thing: 3d world models, only World Labs has a real properly working demo (for now) Very exciting time again!

@levelsio

585,091 次观看 • 1 年前

Okay GPT-6 Astra might actually be the most insane thing we've ever seen for 3D. It drives Blender by itself. It clicks the same buttons a real artist would. All it needs is a drawing or an image to start. From there it gives you thousands of fully editable detailed objects with geometry so clean it hurts. Anyone can build an entire 3D world just by talking now. What is happening.

Okay GPT-6 Astra might actually be the most insane thing we've ever seen for 3D. It drives Blender by itself. It clicks the same buttons a real artist would. All it needs is a drawing or an image to start. From there it gives you thousands of fully editable detailed objects with geometry so clean it hurts. Anyone can build an entire 3D world just by talking now. What is happening.

ImagineArt

21,526 次观看 • 1 个月前

I topped up $5 on an API aggregator ToAPIs Then I found out GPT Image 2 costs only around $0.015 per image. If you do a lot of testing or batch-generate commercial AI images, that difference adds up fast. I think I just found the secret to generating more, testing more, and spending less. And it’s not just one model. With the same key, you can access 50+ models for image, video, and text, including GPT Image 2, Gemini Omni, Seedance 2.0, Kling AI 3.0, grok-video-1.5-preview, and more. Some models are priced up to 80% lower than official platforms. Just top up and test what you need: Made on ToAPIs with GPT Image 2 + Seedance 2.0

I topped up $5 on an API aggregator ToAPIs Then I found out GPT Image 2 costs only around $0.015 per image. If you do a lot of testing or batch-generate commercial AI images, that difference adds up fast. I think I just found the secret to generating more, testing more, and spending less. And it’s not just one model. With the same key, you can access 50+ models for image, video, and text, including GPT Image 2, Gemini Omni, Seedance 2.0, Kling AI 3.0, grok-video-1.5-preview, and more. Some models are priced up to 80% lower than official platforms. Just top up and test what you need: Made on ToAPIs with GPT Image 2 + Seedance 2.0

Shami

22,991 次观看 • 4 个月前

We just released a demo for our game, Cursemark. It's an ARPG/Roguelike hybrid, with a lot of buildcraft and exploration in a dark fantasy world. Try it out and let us know what you think

We just released a demo for our game, Cursemark. It's an ARPG/Roguelike hybrid, with a lot of buildcraft and exploration in a dark fantasy world. Try it out and let us know what you think

CLYDE | ℭ𝔲𝔯𝔰𝔢𝔪𝔞𝔯𝔎

15,056 次观看 • 1 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 • 8 个月前

🚨 The major banger of the week 😱🔥 The new Sketch to Video mode just dropped in Higgsfield AI 🧩 🎥✏️ Fully optimized for #Sora2, it lets you create insane ad concepts from a simple storyboard ⚡ The ad world better watch out 👀

🚨 The major banger of the week 😱🔥 The new Sketch to Video mode just dropped in Higgsfield AI 🧩 🎥✏️ Fully optimized for #Sora2, it lets you create insane ad concepts from a simple storyboard ⚡ The ad world better watch out 👀

Pierrick Chevallier | IA

35,385 次观看 • 11 个月前

Another big drop from Hunyuan3D by Tencent. Hunyuan3D-Buffalo 1.0 is not just another text-to-3D model. The more interesting part is its approach to 3D understanding and editing. It can understand separate parts of a complete asset, extract them, remove or replace them with prompts, and edit only the selected region while keeping the rest of the geometry unchanged. That feels like a much more useful direction for 3D AI in general: not just generating a mesh once, but actually understanding its structure and letting you continue working with it. The model combines Qwen-VL, TRELLIS and Hunyuan3D, and was trained on an impressive dataset of 87 million 3D samples. Source:

Another big drop from Hunyuan3D by Tencent. Hunyuan3D-Buffalo 1.0 is not just another text-to-3D model. The more interesting part is its approach to 3D understanding and editing. It can understand separate parts of a complete asset, extract them, remove or replace them with prompts, and edit only the selected region while keeping the rest of the geometry unchanged. That feels like a much more useful direction for 3D AI in general: not just generating a mesh once, but actually understanding its structure and letting you continue working with it. The model combines Qwen-VL, TRELLIS and Hunyuan3D, and was trained on an impressive dataset of 87 million 3D samples. Source:

Stefan 3D AI

36,409 次观看 • 2 个月前

We’re Going Global! Our journey is taking a new turn as we expand internationally. Check out our latest video where influencers from around the world share their thoughts on Vottun. This is just the beginning and we’re thrilled to have you with us on this incredible journey. Let us know which part of the world you’re tuning in from!👇 #VottunEcosystem #Blockchain #Web3Community

We’re Going Global! Our journey is taking a new turn as we expand internationally. Check out our latest video where influencers from around the world share their thoughts on Vottun. This is just the beginning and we’re thrilled to have you with us on this incredible journey. Let us know which part of the world you’re tuning in from!👇 #VottunEcosystem #Blockchain #Web3Community

VOTTUN🌐🔗

15,032 次观看 • 2 年前

🧊 Splats → Voxels: Bridging 3D Gaussian Splatting with Dynamic Voxels World Labs Just added this last tool to the GS editor plug-in that can convert any 3DGS splats into interactive voxel worlds with full physics support! 🚀 3 Rendering Modes: 🔵 CPU Mode - GameObjects for each voxel. Max physics interaction, perfect for destructible environments 🟢 GPU Mode - DrawMeshInstancedIndirect. Renders 100K+ voxels at 90fps. Pure visual, no physics overhead 🟡 Hybrid Mode - Best of both! GPU renders distant voxels Building this so you can literally punch through a GS World and watch it crumble 🥊 #GaussianSplatting #unity3d #GameDev #VR #3DGS #Voxels #Physics #madewithunity

🧊 Splats → Voxels: Bridging 3D Gaussian Splatting with Dynamic Voxels World Labs Just added this last tool to the GS editor plug-in that can convert any 3DGS splats into interactive voxel worlds with full physics support! 🚀 3 Rendering Modes: 🔵 CPU Mode - GameObjects for each voxel. Max physics interaction, perfect for destructible environments 🟢 GPU Mode - DrawMeshInstancedIndirect. Renders 100K+ voxels at 90fps. Pure visual, no physics overhead 🟡 Hybrid Mode - Best of both! GPU renders distant voxels Building this so you can literally punch through a GS World and watch it crumble 🥊 #GaussianSplatting #unity3d #GameDev #VR #3DGS #Voxels #Physics #madewithunity

Daniel Skaale

29,159 次观看 • 9 个月前