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🔥Spatial intelligence needs fast, *interactive* 3D world generation 🎮 — introducing WonderWorld: generating 3D scenes interactively following your movement and content requests, and see them in <10 seconds! 🧵1/6 Web: arXiv:

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Hong-Xing (Koven) Yu

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169,078 görüntüleme • 1 yıl önce •via X (Twitter)

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🔥Spatial intelligence requires world generation, and now we have the first comprehensive evaluation benchmark📏 for it! Introducing WorldScore: Unifying evaluation for 3D, 4D, and video models on world generation! 🧵1/7 Web: arxiv:
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🔥Spatial intelligence requires world generation, and now we have the first comprehensive evaluation benchmark📏 for it! Introducing WorldScore: Unifying evaluation for 3D, 4D, and video models on world generation! 🧵1/7 Web: arxiv:

Hong-Xing (Koven) Yu

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okay, this is insane. WonderWorld AI can generate interactive 3D world in real time. and change anything with text prompt it's not 2025 yet.. 7 examples:
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okay, this is insane. WonderWorld AI can generate interactive 3D world in real time. and change anything with text prompt it's not 2025 yet.. 7 examples:

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🎨 Rapidly prototype interactive 3D concepts with Gemini. Learn how to use Gemini in the Canvas web app to build 3D environments and interactive models using WebXR APIs. Start building → Explore more examples below 🧵
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🎨 Rapidly prototype interactive 3D concepts with Gemini. Learn how to use Gemini in the Canvas web app to build 3D environments and interactive models using WebXR APIs. Start building → Explore more examples below 🧵

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🎶Time to start NeRFing audio. Introducing NVAS3D for novel acoustic synthesis in 3D scenes. Watch with AirPods. arxiv: code:
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Introducing Make-A-Video3D! Generating 3D dynamic (mini) scenes from input text. That is, text --> 4D! Needs no 4D data (i.e., no dynamic 3D data), no static 3D data, no paired text-video data. Paper: Website:

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DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion TL;DR: Create 3/4DGS from Video Diffusion Note: Some first inference code released (not all yet). Contributions (cited): • We present DimensionX, a novel framework for generating photorealistic 3D and 4D scenes from only a single image using controllable video diffusion. • We propose ST-Director, which decouples the spatial and temporal priors in video diffusion models by learning (spatial and temporal) dimension-aware modules with our curated datasets. We further enhance the hybriddimension control with a training-free composition approach according to the essence of video diffusion denoising process. • To bridge the gap between video diffusion and real-world scenes, we design a trajectory-aware mechanism for 3D generation and an identity-preserving denoising approach for 4D generation, enabling more realistic and controllable scene synthesis. • Extensive experiments manifest that our DimensionX delivers superior performance in video, 3D, and 4D generation compared with baseline methods.
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DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion TL;DR: Create 3/4DGS from Video Diffusion Note: Some first inference code released (not all yet). Contributions (cited): • We present DimensionX, a novel framework for generating photorealistic 3D and 4D scenes from only a single image using controllable video diffusion. • We propose ST-Director, which decouples the spatial and temporal priors in video diffusion models by learning (spatial and temporal) dimension-aware modules with our curated datasets. We further enhance the hybriddimension control with a training-free composition approach according to the essence of video diffusion denoising process. • To bridge the gap between video diffusion and real-world scenes, we design a trajectory-aware mechanism for 3D generation and an identity-preserving denoising approach for 4D generation, enabling more realistic and controllable scene synthesis. • Extensive experiments manifest that our DimensionX delivers superior performance in video, 3D, and 4D generation compared with baseline methods.

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🧵How I made this interactive 3D scene with Blender and react-three-fiber
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Trending: Step1X-3D for generating high-fidelity 3D assets with versatile textures! Apache-2.0 with exceptional results in terms of geometry and texture mapping🔥🔥
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i mean ofc there's a web app for generating 3d printable mounts for ikea skadis... you're ordering your 3d printer this week, tell your wife that kitze approves it
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i mean ofc there's a web app for generating 3d printable mounts for ikea skadis... you're ordering your 3d printer this week, tell your wife that kitze approves it

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✨ Any static 3D assets ➡️ 4D dynamic worlds. Introducing CHORD, a universal framework for generating scene-level 4D dynamic motion from any static 3D inputs. It generalizes surprisingly well across a wide range of objects 🤯 and can even be used to learn robotics manipulation policy 🤖! Project page: Dive deeper in a 🧵: 1/n

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Just switch to Grok 3 from o1. Grok clearly outperforms o1 in understanding the 3D world based on images. 3D scene generation just got a massive boost! 🎮🔥 The future of AI gaming is about to change forever. 🚀 #AI #Gaming #Grok #3D #GenerativeAI
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Just switch to Grok 3 from o1. Grok clearly outperforms o1 in understanding the 3D world based on images. 3D scene generation just got a massive boost! 🎮🔥 The future of AI gaming is about to change forever. 🚀 #AI #Gaming #Grok #3D #GenerativeAI

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