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InSpatio-WorldFM. transforms single photos into multi-view consistent 3D worlds. - Explicit 3D anchors + implicit neural state. - Zero-drift spatial reasoning. Real-time interactive exploration.

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Wildminder

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10,808 görüntüleme • 7 ay önce •via X (Twitter)

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We’re open-sourcing HY-World 2.0, a multimodal world model that generates, reconstructs, and simulates interactive *3D worlds* from text, images, and videos. Outputs can be integrated into game engines and embodied simulation pipelines. Key highlights: 🔹 One-click world generation Turn text or image into interactive 3D worlds automatically. 🔹 Pipeline-ready 3D outputs Editable 3D worlds for Unity and Unreal Engine, with standard 3D exports including mesh, 3DGS, and point clouds. 🔹 Unified world model system One model family for world generation and reconstruction across synthetic and real-world scenes. 🔹 Interactive character mode Explore generated 3D worlds in real time with physics-aware movement and collision support. ✨ Apply for access: 🔗 GitHub: 🤗 Hugging Face: 📄 Technical Report:
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We’re open-sourcing HY-World 2.0, a multimodal world model that generates, reconstructs, and simulates interactive *3D worlds* from text, images, and videos. Outputs can be integrated into game engines and embodied simulation pipelines. Key highlights: 🔹 One-click world generation Turn text or image into interactive 3D worlds automatically. 🔹 Pipeline-ready 3D outputs Editable 3D worlds for Unity and Unreal Engine, with standard 3D exports including mesh, 3DGS, and point clouds. 🔹 Unified world model system One model family for world generation and reconstruction across synthetic and real-world scenes. 🔹 Interactive character mode Explore generated 3D worlds in real time with physics-aware movement and collision support. ✨ Apply for access: 🔗 GitHub: 🤗 Hugging Face: 📄 Technical Report:

Tencent Hy

373,065 görüntüleme • 6 ay önce

SIFU Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction Creating high-quality 3D models of clothed humans from single images for real-world applications is crucial.
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SIFU Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction Creating high-quality 3D models of clothed humans from single images for real-world applications is crucial.

AK

49,541 görüntüleme • 2 yıl önce

RTFM (Real-Time Frame Model) explores real-time, interactive frame generation from images, producing new views on the fly without explicit 3D. It differs from Marble, which targets high-fidelity persistent worlds (3DGS). We’re interested in how ideas from both might connect 🌎
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RTFM (Real-Time Frame Model) explores real-time, interactive frame generation from images, producing new views on the fly without explicit 3D. It differs from Marble, which targets high-fidelity persistent worlds (3DGS). We’re interested in how ideas from both might connect 🌎

World Labs

74,757 görüntüleme • 8 ay önce

Spatial reconstruction is a long-context problem: real scenes come with hundreds of images. But O(N²) transformer-based models don’t scale efficiently. Introducing: 🤐ZipMap (CVPR ’26): Linear-Time, Stateful 3D Reconstruction via Test-Time Training (TTT). ZipMap “zips” a large image collection into an implicit TTT scene state in a single linear-time operation. The state will then be decoded into spatial outputs, and can be queried efficiently for novel-view geometry and appearance (~100 FPS) ZipMap is not only much faster (>20× faster than VGGT), but also matches or surpasses the accuracy of all SOTA models.
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Spatial reconstruction is a long-context problem: real scenes come with hundreds of images. But O(N²) transformer-based models don’t scale efficiently. Introducing: 🤐ZipMap (CVPR ’26): Linear-Time, Stateful 3D Reconstruction via Test-Time Training (TTT). ZipMap “zips” a large image collection into an implicit TTT scene state in a single linear-time operation. The state will then be decoded into spatial outputs, and can be queried efficiently for novel-view geometry and appearance (~100 FPS) ZipMap is not only much faster (>20× faster than VGGT), but also matches or surpasses the accuracy of all SOTA models.

Haian Jin

80,294 görüntüleme • 7 ay önce

🔥 New Feature: Multi-View Images in One Click! 🎨 Turn text/image → consistent multi-views (powered by Flux Kontext) → high-accuracy 3D models in seconds! 🚀 Boost your 3D workflow today:
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🔥 New Feature: Multi-View Images in One Click! 🎨 Turn text/image → consistent multi-views (powered by Flux Kontext) → high-accuracy 3D models in seconds! 🚀 Boost your 3D workflow today:

MeshyAI

10,461 görüntüleme • 1 yıl önce

Introducing Stable Virtual Camera: This multi-view diffusion model transforms 2D images into immersive 3D videos with realistic depth and perspective—without complex reconstruction or scene-specific optimization.
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Introducing Stable Virtual Camera: This multi-view diffusion model transforms 2D images into immersive 3D videos with realistic depth and perspective—without complex reconstruction or scene-specific optimization.

Stability AI

197,625 görüntüleme • 1 yıl önce

CS:GO + Adobe + Wan2.1 = WorldCam. Interactive autoregressive 3D gaming worlds. > AI now generates playable 3D worlds live > You move the mouse, the AI builds the map instantly > Turn around, and it remembers exactly what was there No traditional game engines. Just neural networks hallucinating reality.
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CS:GO + Adobe + Wan2.1 = WorldCam. Interactive autoregressive 3D gaming worlds. > AI now generates playable 3D worlds live > You move the mouse, the AI builds the map instantly > Turn around, and it remembers exactly what was there No traditional game engines. Just neural networks hallucinating reality.

Wildminder

67,899 görüntüleme • 7 ay önce

GPT-6 Astra + Scenario MCP turned 9 crappy photos into a fully interactive 3D room. No measurements. No scans. Just 9 phone photos of our office. Astra understood the spatial layout and rebuilt the geometry in Blender. Scenario MCP pulled the real materials straight from the photos, including the carpet, wood and metal surfaces. An hour later, we were walking through our actual office in 3D.
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GPT-6 Astra + Scenario MCP turned 9 crappy photos into a fully interactive 3D room. No measurements. No scans. Just 9 phone photos of our office. Astra understood the spatial layout and rebuilt the geometry in Blender. Scenario MCP pulled the real materials straight from the photos, including the carpet, wood and metal surfaces. An hour later, we were walking through our actual office in 3D.

Scenario

42,461 görüntüleme • 1 ay önce

This AI just turned a flat image into a fully interactive 3D world 👀 Hyper3D WorldGen converts a single image into multiple independent, physics-ready 3D assets while preserving their spatial relationships. It doesn’t just generate a 3D scene it actually understands and structures the objects inside it. Watch the breakdown:
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This AI just turned a flat image into a fully interactive 3D world 👀 Hyper3D WorldGen converts a single image into multiple independent, physics-ready 3D assets while preserving their spatial relationships. It doesn’t just generate a 3D scene it actually understands and structures the objects inside it. Watch the breakdown:

Markandey Sharma

31,374 görüntüleme • 1 ay önce

Codex + GPT-Image-2 + Three.js = instant interactive 3D worlds 🌍
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Codex + GPT-Image-2 + Three.js = instant interactive 3D worlds 🌍

Givros

40,225 görüntüleme • 6 ay önce

Introducing Echo-3. A state-of-the-art world model. Echo-3 turns phone captures into photorealistic, metric-scale 3D worlds. From a single room to multi-floor buildings, outdoor and public spaces. Available today.
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Introducing Echo-3. A state-of-the-art world model. Echo-3 turns phone captures into photorealistic, metric-scale 3D worlds. From a single room to multi-floor buildings, outdoor and public spaces. Available today.

SpAItial AI

311,667 görüntüleme • 4 gün önce

🚀 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:
1:07

🚀 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

177,689 görüntüleme • 10 ay önce

Introducing RTFM (Real-Time Frame Model): a highly efficient World Model that generates video frames in real time as you interact with it, powered by a single H100 GPU. RTFM renders persistent and 3D consistent worlds, both real and imaginary. Try our demo of RTFM today!
2:21

Introducing RTFM (Real-Time Frame Model): a highly efficient World Model that generates video frames in real time as you interact with it, powered by a single H100 GPU. RTFM renders persistent and 3D consistent worlds, both real and imaginary. Try our demo of RTFM today!

World Labs

342,124 görüntüleme • 1 yıl önce

Lucida from ByteDance Cool project! It transforms indoor video into editable 3D scenes; reconstructs objects as simulation-ready assets - VLM-based object detection and referring descriptions. - good at pose alignment - high-fidelity real-to-sim digital twins. - multi-view masks, boxes, partial point clouds - Seed3D 2.0 for image-to-3D asset gen
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Lucida from ByteDance Cool project! It transforms indoor video into editable 3D scenes; reconstructs objects as simulation-ready assets - VLM-based object detection and referring descriptions. - good at pose alignment - high-fidelity real-to-sim digital twins. - multi-view masks, boxes, partial point clouds - Seed3D 2.0 for image-to-3D asset gen

Wildminder

47,204 görüntüleme • 2 ay önce

Today, we are open-sourcing Hunyuan World 1.1 (WorldMirror), a universal feed-forward 3D reconstruction model. 🚀🚀🚀 While our previously released Hunyuan World 1.0 (open-sourced, lite version deployable on consumer GPUs) focused on generating 3D worlds from text or single-view images, Hunyuan World 1.1 significantly expands the input scope by unlocking video-to-3D and multi-view-to-3D world creation. Highlights: 🔹Any Input, Maximized Flexibility and Fidelity: Flexibly integrates diverse geometric priors (camera poses, intrinsics, depth maps) to resolve structural ambiguities and ensure geometrically consistent 3D outputs. 🔹Any Output, SOTA Results：This elegant architecture simultaneously generates multiple 3D representations: dense point clouds, multi-view depth maps, camera parameters, surface normals, and 3D Gaussian Splattings. 🔹Single-GPU & Fast Inference: As an all-in-one, feed-forward model, Hunyuan World 1.1 runs on a single GPU and delivers all 3D attributes in a single forward pass, within seconds. 🌐Project Page: 🔗Github： 🤗Hugging Face： ✨Demo: 📄Technical Report:
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Today, we are open-sourcing Hunyuan World 1.1 (WorldMirror), a universal feed-forward 3D reconstruction model. 🚀🚀🚀 While our previously released Hunyuan World 1.0 (open-sourced, lite version deployable on consumer GPUs) focused on generating 3D worlds from text or single-view images, Hunyuan World 1.1 significantly expands the input scope by unlocking video-to-3D and multi-view-to-3D world creation. Highlights: 🔹Any Input, Maximized Flexibility and Fidelity: Flexibly integrates diverse geometric priors (camera poses, intrinsics, depth maps) to resolve structural ambiguities and ensure geometrically consistent 3D outputs. 🔹Any Output, SOTA Results：This elegant architecture simultaneously generates multiple 3D representations: dense point clouds, multi-view depth maps, camera parameters, surface normals, and 3D Gaussian Splattings. 🔹Single-GPU & Fast Inference: As an all-in-one, feed-forward model, Hunyuan World 1.1 runs on a single GPU and delivers all 3D attributes in a single forward pass, within seconds. 🌐Project Page: 🔗Github： 🤗Hugging Face： ✨Demo: 📄Technical Report:

Tencent Hy

168,996 görüntüleme • 1 yıl önce

🚀 New work [ICML 2026]: Structured 4D Latent Predictive Model for Robot Planning. Can robots plan by imagining future 3D structure, not just pixels? Multi-view obs + language → 3D latent rollouts → 3D-consistent subgoals for robot actions.
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🚀 New work [ICML 2026]: Structured 4D Latent Predictive Model for Robot Planning. Can robots plan by imagining future 3D structure, not just pixels? Multi-view obs + language → 3D latent rollouts → 3D-consistent subgoals for robot actions.

Zhiyi Li

99,836 görüntüleme • 3 ay önce

Upload single or multi-view images to ComfyUI’s HY 3D 3.0 nodes for high-fidelity 3D assets—from product displays to game dev, done in minutes!
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Upload single or multi-view images to ComfyUI’s HY 3D 3.0 nodes for high-fidelity 3D assets—from product displays to game dev, done in minutes!

ComfyUI

25,687 görüntüleme • 6 ay önce