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WorldCam Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric Representation paper:

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AK

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15,251 görüntüleme • 4 ay önce •via X (Twitter)

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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.
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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

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COCOON x LOST IN CULT🪲 Warp between worlds with Cocoon: Design Works in collaboration with Geometric Interactive, Annapurna Interactive & writer Rachel Watts🤝 Pre-order the Deluxe Edition before 16th December @ 6pm BST 🚨
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COCOON x LOST IN CULT🪲 Warp between worlds with Cocoon: Design Works in collaboration with Geometric Interactive, Annapurna Interactive & writer Rachel Watts🤝 Pre-order the Deluxe Edition before 16th December @ 6pm BST 🚨

Lost In Cult

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Built a web app with AI using Three.js + WebGL that turns motion, mechanics and symmetry into an interactive 3D experience featuring a gear mechanism, gyroscope, turbine, coil and geometric structures. Workflow ↓
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Built a web app with AI using Three.js + WebGL that turns motion, mechanics and symmetry into an interactive 3D experience featuring a gear mechanism, gyroscope, turbine, coil and geometric structures. Workflow ↓

Techartist

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Google DeepMind just dropped Genie 2. AI can now create diverse, interactive 3D worlds from a single image or text. Gaming will never be the same. 10 wild examples: 1. Long video generation on the fly
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Google DeepMind just dropped Genie 2. AI can now create diverse, interactive 3D worlds from a single image or text. Gaming will never be the same. 10 wild examples: 1. Long video generation on the fly

Min Choi

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HY-World 2.0 A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds paper:
1:04

HY-World 2.0 A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds paper:

AK

13,879 görüntüleme • 3 ay önce

Fable 5 is an absolute beast at threejs. It's the best LLM at generating 3D simulations/worlds. Watch how I combine it with gpt-realtime-2 to generate interactive educational 3D worlds DAIR.AI. Comment below if you want to see a breakdown.
4:14

Fable 5 is an absolute beast at threejs. It's the best LLM at generating 3D simulations/worlds. Watch how I combine it with gpt-realtime-2 to generate interactive educational 3D worlds DAIR.AI. Comment below if you want to see a breakdown.

elvis

38,026 görüntüleme • 23 gün önce

Generative 3D worlds are amazing! Here is a generative AI video showing fine grained camera control. Camera movements are all hand places within a generated 3D world.
0:52

Generative 3D worlds are amazing! Here is a generative AI video showing fine grained camera control. Camera movements are all hand places within a generated 3D world.

Brittani Natali

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🔥1-min Interactive Video Generation with Multimodal Control🔥 Towards *long-context world model*, #LongVie is an end-to-end autoregressive framework for controllable ultra-long video generation - Page: - Paper: . Thanks AK
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🔥1-min Interactive Video Generation with Multimodal Control🔥 Towards *long-context world model*, #LongVie is an end-to-end autoregressive framework for controllable ultra-long video generation - Page: - Paper: . Thanks AK

Ziwei Liu

14,195 görüntüleme • 11 ay önce

omg the pose of lisa’s 3D arms is a representation of a thai dance, she’s so proud of her roots 🇹🇭
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omg the pose of lisa’s 3D arms is a representation of a thai dance, she’s so proud of her roots 🇹🇭

lisa loops

38,390 görüntüleme • 2 ay önce

Mind blown by this new CVPR 2026 paper: tttLRM🤯 It introduces a Test-Time Training layer for long-context autoregressive 3D reconstruction with linear complexity. Multiple image observations are compressed into fast weights that keep updating during inference, forming an implicit scene representation that can be decoded into explicit formats such as 3D Gaussian Splats. Progressive 3D reconstruction from streaming inputs is getting wild🥳It’s interesting to see how AI inference and real-world capture are starting to converge.
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Mind blown by this new CVPR 2026 paper: tttLRM🤯 It introduces a Test-Time Training layer for long-context autoregressive 3D reconstruction with linear complexity. Multiple image observations are compressed into fast weights that keep updating during inference, forming an implicit scene representation that can be decoded into explicit formats such as 3D Gaussian Splats. Progressive 3D reconstruction from streaming inputs is getting wild🥳It’s interesting to see how AI inference and real-world capture are starting to converge.

KIRI Engine - 3D Scanner App

16,949 görüntüleme • 4 ay önce

3D scene reconstruction works great until the camera never sees part of the scene. ArtiFixer from NVIDIA Research is an open autoregressive model that fills in the missing geometry that other methods leave blank. #SIGGRAPH2026 paper, code + demo:
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3D scene reconstruction works great until the camera never sees part of the scene. ArtiFixer from NVIDIA Research is an open autoregressive model that fills in the missing geometry that other methods leave blank. #SIGGRAPH2026 paper, code + demo:

NVIDIA AI

154,931 görüntüleme • 1 ay önce

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:
1:04

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

371,122 görüntüleme • 3 ay önce

Check-out 📢DUSt3R📢 - a new 3D reconstruction model that works with no prior info on camera calibration nor viewpoint poses! Outperforms SoA monocular & multiview depth estimation & relative pose estimation. Paper, demo, videos (& soon code!) available
2:07

Check-out 📢DUSt3R📢 - a new 3D reconstruction model that works with no prior info on camera calibration nor viewpoint poses! Outperforms SoA monocular & multiview depth estimation & relative pose estimation. Paper, demo, videos (& soon code!) available

NAVER LABS Europe

17,134 görüntüleme • 2 yıl önce

If you’ve been curious about the intersection of AI, 3D and gaming, then this 18 min video is for you: 0:00 Status Quo 1:54 Next Gen 2:55 Dynamic 3D Scenes 6:01 Large Scale 3D 11:10 Interactive 3D Worlds 14:07 Films 🤝 Games 16:35 Jensen's Prediction
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If you’ve been curious about the intersection of AI, 3D and gaming, then this 18 min video is for you: 0:00 Status Quo 1:54 Next Gen 2:55 Dynamic 3D Scenes 6:01 Large Scale 3D 11:10 Interactive 3D Worlds 14:07 Films 🤝 Games 16:35 Jensen's Prediction

Bilawal Sidhu

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𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗨𝗩𝗚𝗦 We introduce 𝗨𝗩𝗚𝗦, a new 2D representation of 3D Gaussian Splatting (3DGS) that leverages spherical mapping. Website: Paper:
0:23

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗨𝗩𝗚𝗦 We introduce 𝗨𝗩𝗚𝗦, a new 2D representation of 3D Gaussian Splatting (3DGS) that leverages spherical mapping. Website: Paper:

Nikolaos Sarafianos

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✨ Presenting MicKey (#CVPR2024, Oral) ✨ We regress and match 3D camera coordinates rather then 2D key points, all in metric space. Gives you a scaled relative pose between two RGB images. Paper: Page:
0:36

✨ Presenting MicKey (#CVPR2024, Oral) ✨ We regress and match 3D camera coordinates rather then 2D key points, all in metric space. Gives you a scaled relative pose between two RGB images. Paper: Page:

Eric Brachmann

70,399 görüntüleme • 2 yıl önce

Interactive 3D posing and smart lighting prompts. With this nodepack in ComfyUI, it's now easier for you to control the image's pose and lighting:
1:09

Interactive 3D posing and smart lighting prompts. With this nodepack in ComfyUI, it's now easier for you to control the image's pose and lighting:

Daxiong (Lin)

13,330 görüntüleme • 5 ay önce

A totally new level of pose control in ComfyUI - VNCCS. - full 3D Pose Studio for character posing & lighting, - multi-pose, body generator, pose gallery; - vision-guided QWEN Detailer + camera controls.
1:04

A totally new level of pose control in ComfyUI - VNCCS. - full 3D Pose Studio for character posing & lighting, - multi-pose, body generator, pose gallery; - vision-guided QWEN Detailer + camera controls.

Wildminder

164,255 görüntüleme • 6 ay önce

Meet LA-Pose. Our latest model taking Wayve another step towards generalization at scale. LA-Pose employs large-scale self-supervised learning, building strong motion representations for 3D perception from 10.2 million unlabeled driving video snippets, unlike today's strongest approaches that often depend on expensive, carefully curated 3D supervision. With only a lightweight pose head and limited labelled data, LA-Pose achieves: 📷 State-of-the-art camera pose estimation 🌎 Strong zero-shot generalization across diverse driving scenarios 🏷️ Orders of magnitude less labelled data than fully supervised 3D approaches Our full blog post: Explore the full paper here:
1:00

Meet LA-Pose. Our latest model taking Wayve another step towards generalization at scale. LA-Pose employs large-scale self-supervised learning, building strong motion representations for 3D perception from 10.2 million unlabeled driving video snippets, unlike today's strongest approaches that often depend on expensive, carefully curated 3D supervision. With only a lightweight pose head and limited labelled data, LA-Pose achieves: 📷 State-of-the-art camera pose estimation 🌎 Strong zero-shot generalization across diverse driving scenarios 🏷️ Orders of magnitude less labelled data than fully supervised 3D approaches Our full blog post: Explore the full paper here:

Wayve

36,410 görüntüleme • 2 ay önce

SAM 3D enables accurate 3D reconstruction from a single image, supporting real-world applications in editing, robotics, and interactive scene generation. Matt, a SAM 3D researcher, explains how the two-model design makes this possible for both people and complex environments. 🔗 Read the SAM 3D Objects research paper: 🔗 Read the SAM 3D Body research paper:
1:54

SAM 3D enables accurate 3D reconstruction from a single image, supporting real-world applications in editing, robotics, and interactive scene generation. Matt, a SAM 3D researcher, explains how the two-model design makes this possible for both people and complex environments. 🔗 Read the SAM 3D Objects research paper: 🔗 Read the SAM 3D Body research paper:

AI at Meta

17,858 görüntüleme • 8 ay önce