MotionBricks Revolutionizes Real-Time Animation and Robotics with Unmatched Speed and Simplicity In the fast-paced worlds of gaming, virtual production, and intelligent machines, creating lifelike character movements has long been a complex and time-consuming challenge. Traditional systems rely on massive libraries of pre-recorded clips, intricate animation graphs, manual blending between actions, and extensive fine-tuning for each new task or environment. A groundbreaking new framework called MotionBricks changes everything by delivering scalable, high-quality motion generation through a single unified model. Built around one powerful open model trained on more than 350,000 diverse motion clips, MotionBricks generates natural, production-ready animations in real time. It achieves an extraordinary 15,000 frames per second with only 2 milliseconds of latency, making it fast enough for seamless integration into live simulations, game engines, and robotic control systems. The technology eliminates the need for hand-crafted transitions, foot-locking adjustments, collision detection scripts, or any task-specific retraining. At its core, MotionBricks uses smart primitives as an intuitive authoring interface. For locomotion, users simply provide commands for speed, direction, and style — whether it is a smooth walk, dynamic run, zombie shuffle, injured limp, or strafing movement. The system automatically produces continuous, physically plausible transitions across gaits and velocities without any manual intervention. For object interactions, creators define proxy keyframes for key moments, and the model intelligently fills in the natural approach, contact, and follow-through phases, resulting in believable behaviors every time. This zero-shot capability means the same model works immediately across different character skeletons, environments, and even entirely new applications without additional training. The result is a plug-and-play experience that feels like building with modular bricks — simple, flexible, and powerful. Beyond entertainment, MotionBricks extends its strengths into robotics. It serves as a foundational motion-generation layer for advanced whole-body control systems, enabling humanoid robots to perform fluid, adaptive movements in dynamic real-world settings. By removing the traditional bottlenecks of animation pipelines, it empowers smaller teams, independent developers, and researchers to achieve professional-grade results quickly and cost-effectively. The implications are profound. Game studios can now prototype and ship richer character behaviors faster than ever. Virtual worlds become more responsive and immersive. Robotics development accelerates as motion intelligence becomes more accessible and scalable. What once required large animation teams and weeks of work can now happen in real time through intelligent generation. MotionBricks represents a major step toward more intuitive and efficient ways of bringing digital and physical entities to life. As adoption grows, expect to see increasingly natural and creative motion in games, films, simulations, and autonomous systems — all powered by this efficient, high-performance approach. #decw #MotionGeneration #RealTimeAI #CharacterAnimation #RoboticsAI #GameDevelopment

Animate any human image with realistic motion using X-UniMotion — a diffusion-based model that decouples identity from movement. AI-powered, expressive, and versatile. 🔗 byteaigc.github.io/X-Unimoti… #AI #DeepLearning #MotionGeneration #DiffusionModels #XUniMotion #AIart

We'll be live at @siggraph with our real-time 3D #MotionCapture and #MotionGeneration demos! Come see us in #Vancouver!

🔥 🔥 Want better motion generation? Start with better text. #SnapMoGen — a novel text-to-motion dataset built for expressive control and generalization. #AIGC #3DAnimation #AI #ComputerVision #AIResearch #3DMotion #MotionGeneration #TextToMotion

人型ロボットが人間の意図を理解し、表現豊かで適切なジェスチャーで応答するリアルタイムシステム (階層的に意図を考慮したインタラクション) youtu.be/_C60tH7mb2I #humanoid #robot #InContextLearning #ICL #MotionGeneration #interaction #gesture #PhysicalAI

🚀 Check out Ke Fan(@frankefanrank)’s #ICCV25 paper: "GO TO ZERO" – the first systematic exploration of zero-shot text-to-motion generation! Huge congratulations to Kefan and the whole team! Highlights: ✅ 2M 3D motion clips ✅ A new benchmark with 126 real-world prompts ✅ A 7B-parameter motion foundation model These resources are valuable not just for character animation, but also for humanoid skill learning! 🔗 Links: 🌐 Project page: vankouf.github.io/MotionMill… 📄 Paper: arxiv.org/pdf/2507.07095 🤗 Hugging Face: huggingface.co/papers/2507.0… 💻 Code: github.com/VankouF/MotionMil… #ICCV2025 #MotionGeneration #ZeroShot #AI #FoundationModels #EmbodiedAI #AIGC #Animation #Robotics #AI #Deeplearning

Good morning #CVPR2025 👋 It’s the last day of the expo and it’s been a blast so far! Many curious minds stopped by our booth to try out real-time #MotionCapture and #MotionGeneration demo — all demoed live by on a virtual @UnitreeRobotics G1 model in @UnrealEngine using #SMPL. Even a real G1 stopped by to hi! 🤖💃 Interested in using digital humans in your projects? Want to see how it works in action? Come by and let’s talk! 📍@CVPR Expo Hall, Booth 1333 📅 Final day – don’t miss us! #SyntheticData #AI #Robotics #Simulation

🚀 The first day of conversations at @CVPR is going strong! ✅ Robotics teams asking about human interaction simulation ✅ AV teams building better pedestrian models for ADAS ✅ AI labs needing scalable synthetic body data ✅ Healthcare researchers exploring shape & pose tracking for remote monitoring These are real production needs: not theory. Meshcapade is demoing monocular 3D #MotionCapture & #MotionGeneration with #SMPL live at Booth #1333. If you're serious about production-ready 3D human motion, just drop by or book a meeting slot with us: calendar.app.google/6qzVxMge… #SyntheticData #AI #Robotics #Healthcare #Simulation

Attending @CVPR? We're going to be 🚀 LIVE showing our #MotionCapture & #MotionGeneration demos TOGETHER! 👉 Booth #1333. 👈 Our AI Avatar seamlessly switches between #MoCapade and #MoGen in 3D, streaming realtime in the @UnrealEngine. #SMPL #Simulation #Robotics #Gamedev

Next in our #CVPR2025 series: ChatHuman 🧠🕺 By Jing Lin, Yao Feng, Weiyang Liu, and Michael J. Black, in collaboration with the Max Planck Institute for Intelligent Systems (@MPI_IS), Stanford University (@Stanford), Tsinghua University (@Tsinghua_Uni), and University of Cambridge (@Cambridge_Uni). ChatHuman: Language-driven 3D Human Understanding with Tools. One System, All the Tools. From a single prompt, ChatHuman can perceive full bodies, faces, hands, and understand what they’re doing. 🎥 This video walks through:  1️⃣ 3D Body & Motion Estimation  2️⃣ Text-to-Motion Generation  3️⃣ Face & Expression Reconstruction  4️⃣ Hand Pose & Action Reasoning What we do: • We use train a LLM as an agent to operate and integrate 26 specialized tools for solving 3D human-related tasks. • We leverage scientific paper-based retrieval-augmented generation (RAG) to improve the model’s understanding of each tool and enable appropriate tool selection. • We apply tool result discrimination and integration to intelligently fuse outputs from multiple tools, improving performance across tasks such as pose estimation, shape measurement and human-object interaction (HOI) detection. Why it matters: • No need to stitch together separate body, hand, and face models. ChatHuman handles everything in one  • Go from text prompt to full-body animation in seconds  • Perfect for next-gen avatars, virtual agents, and embodied AI  • Designed to help developers, studios, and researchers streamline their pipelines 🎯 Whether you’re building games, immersive XR, robotics, or research tools, ChatHuman makes full-body AI faster and easier to control. 👋 Visit booth 1333 at @CVPR to explore the project and check out more from the Meshcapade video series. 📄 Paper link in the thread. #3DBody #DigitalHuman #MotionGeneration #ComputerVision #AI #MachineLearning #SMPL

🎮✨ Motion Generation in Unreal, made SMPL. Experience real-time reactive behavior—characters move and adapt instantly based on your input. With controllable generative 3D motion, every movement is unique. And thanks to real-time motion blending, transitions are smooth and seamless. 🚀 Want more? Stop by Booth C1821 and see the future of animation in action at #GDC! #3DAnimation #MotionGeneration #GameDev #GDC2025

Can we generate meaningful speech-driven motion by extracting semantics from data? ✅Yes, we can! Check out our latest #CVPR2025 work on generating semantically rich gestures using Diffusion-based RAG 🚀 🎥: vcai.mpi-inf.mpg.de/projects… @VcaiMpi #AI #MotionGeneration #EmbodiedAI

📢The awesome work of our intern Eleni Tselepi will be presented as a poster @siggraph asia 2024! 👇 @moverseai is investigating the controllability of unconditional single-shot #motiongeneration🤸‍♀️ and its role in shaping the next generation of #3danimation editing tools.

Preface by Yutaka Matsuo ymatsuo.com/(Professor, Univ. Tokyo) for the forthcoming #NewGenerationComputing special issue. #DeepLearning #SymbolManipulation #WorldModel #MotionGeneration #CognitiveModels #NaturalLanguageProcessing link.springer.com/article/10…