Experimenting with image-to-world: creating consistent 3D environments from a... single photo. As someone who studied architecture, this feels like a glimpse into the future of spatial creation and I’m excited to see where World Labs takes it.show more

A short glimpse into the world of TORNBLADE. A... few moments from the game as it takes shape. #indiedev #indiegameshow more

MIMO aka VIGGLE on steroids can create controllable character... videos from a single image! It allows users to animate characters with complex motions in real-world scenes by encoding 2D videos into 3D spatial codes for flexible control. Links ⬇️show more

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)”show more

It’s crazy how a single image can turn into... an immersive experience with World Labs. - 3D environment - Animated character + assets - Cursor / Spark 2.0 / three.jsshow more

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.show more

World Models are heating up as Prof. Fei-fei Li... Fei-Fei Li's World Labs World Labs ignites the space with their first product Marble 🔥🌍 Riding that momentum, we’re launching a World Model demo on Theta Network EdgeCloud, powered by Tencent Tencent 腾讯's open-source Hunyuan 3D World Model, and packaged as a standard model template for creators, devs, and AI worldbuilders. Text/Image → explorable 3D worlds. Single image → full geometry. Exportable, editable, fast! Try it now:show more

Bring new robot testing environments to life with World... Labs and Isaac Sim. 🤖 If you can describe a world 🌎, you can start testing in it the same day. Learn how to: 1. Export scenes from World Labs' Marble as Gaussian splats 2. Convert to USD using NVIDIA Omniverse NuRec 3. Import into NVIDIA Isaac Sim 4. Add a robot and run the simulation Read the guide ➡️ #SIGGRAPHAsia2025show more

Been experimenting with a similar technique lately Midjourney —&gt;... Gaussian Splat So cool to see this generative AI video to 3D workflow. Excited to see where it’s headedshow more

The new Victoria VR website is live. We continue... to evolve our journey with AI. Victoria VR is more than a virtual world, it’s an AI-driven platform where creation is powered by intelligence itself. Imagine writing a single sentence and watching it become a living world. AI generates the architecture. AI populates it with avatars. AI gives them memory, logic, and awareness. This is creation redefined, where generative AI meets virtual reality, and imagination meets execution. Welcome to the foundation layer of the immersive internet. Discover the new Victoria VR: Victoria VR, a world where anything is possible.show more

Meta just dropped a new paper. "A Recipe for... Generating 3D Worlds From a Single Image" Turn a single image into a high-quality 3D world ready for VR. 10 wild examples:show more

Imagine creating a world from a single image. Imagine... walking around inside it, like a video game. Imagine doing that on your own machine. That is coming soon to the QVAC SDK.show more

It is now possible to create 360 equirectangular VR... 8K seamless videos from a single image! 😃 Theoretically Media World Labs #aivideo #VRshow more

I think I just saw a glimpse of where... ecommerce marketing is headed. I uploaded a photo of a pair of brown Martin boots into Pollo AI Marketing Studio, selected a UGC template, and within minutes got a video that looked like it came from a real creator partnership. No casting. No outreach. No back-and-forth revisions. No waiting days for content. As someone who's talked to ecommerce founders, I keep hearing the same problem: every new product needs new content, and scaling creator production is expensive and time-consuming. This feels like one of those AI use cases that's immediately practical. Not perfect. But good enough that it makes you rethink the entire content creation workflow. Turn a single product image into ready-to-publish marketing content with Pollo AI's Marketing Studio.show more

We are excited to announce that World Labs is... joining AMD. The research and technical breakthroughs we have achieved since our founding in 2024 have given us a clear vision for AI’s potential to solve problems in the spatial and physical world. Accelerating the future of spatial and physical intelligence requires scaling our efforts, scaling our reach, and getting closer to the hardware.show more

In Simulon, you can turn any image into a... 3D neural asset and bring it into the real world. Dracula started as a single image. A minute later, he’s riding a real RC car across my dining table, with his cape swinging through the turns. When the car goes over the edge, he jumps off the car and stays on the table. All of this happens procedurally, with no prompting. He responds to the space and what’s happening around him. The inset shows the original footage. What would you bring into the world? Drop an image in the replies and tell me what you’d like to see it do. I’ll pick a few and bring your ideas to life.show more

EVANIE congrats on your solo debut. it feels like... just yesterday we were talking about this day and now it’s here 🤍 thank you for sharing a piece of yourself through your music and for creating something so genuine and meaningful. i’m proud of you and excited to see where this new chapter takes you 🫳🏻show more

.@spicyflowerhands This main challenge used only a promotional photo... to model this virtual sculpture from a future world!! It showcases the design of an entire space for DEADLINE and LISA.show more

Today, we released Lyra 2.0, a framework for generating... persistent, explorable 3D worlds at scale, from NVIDIA Research. Generating large-scale, complex environments is difficult for AI models. Current models often “forget” what spaces look like and lose track of movement over time, causing objects to shift, blur, or appear inconsistent. This prevents them from creating the reliable 3D environments required for downstream simulations. Lyra 2.0 solves these issues by: ✅ Maintaining per-frame 3D geometry to retrieve past frames and establish spatial correspondences ✅ Using self-augmented training to correct its own temporal drifting. Lyra 2.0 turns an image into a 3D world you can walk through, look back, and drop a robot into for real-time rendering, simulation, and immersive applications. ➡️ Learn more: 📄 Read the paper:show more