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The next update of #XRAnimator will improve and fix various issues regarding the new "Upper body blend mode" setting, allowing you to perfectly blend real-time mocap with virtually any preloaded motion (MMD, BVH, VRMA, etc) no matter how vigorous the motion is🎸

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Butz Yung

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13,576 görüntüleme • 1 yıl önce •via X (Twitter)

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Shoulder mocap is almost non-existent in the current version of XR Animator. The next update will have a vast improvement over this issue. Be more expressive with your upper body language💃 #XRAnimator #VTuber #九条フレカ
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Shoulder mocap is almost non-existent in the current version of XR Animator. The next update will have a vast improvement over this issue. Be more expressive with your upper body language💃 #XRAnimator #VTuber #九条フレカ

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Sat down with the Figma team to talk about craft – what is it, how do we define it, and how can you get better at it? This is part of a mini series called Blend Mode, with two other videos on the design process and users coming out in the next few weeks

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Pilots all know that there’s no curve and they don’t account for curve. The main rebuttal science has for this is they try to get them fired. There is no observable curve from any height or any motion of the earth. No matter how angry that gets you.

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. Fortnite Status Fortnite shown below is the newest bug affecting xbox controller players as a result of your latest update-- 1.) When making micro-adjustments (as shown below), the game doesn't input the full motion--but rather only inputs about a quarter/a half of the motion, resulting in choppiness and jittering. 2.) Since the release of the new season, xbox controller players are also locked to 20/20 deadzones and the linear setting is leaning towards an exponential feel at the moment. 3.) Fortnite isn't realizing inputs with trigger stoppers or paddles occasionally since the new update, resulting in affected inputs due to increased latency. Please fix all of these issues as it literally makes the game both unenjoyable and unplayable.
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. Fortnite Status Fortnite shown below is the newest bug affecting xbox controller players as a result of your latest update-- 1.) When making micro-adjustments (as shown below), the game doesn't input the full motion--but rather only inputs about a quarter/a half of the motion, resulting in choppiness and jittering. 2.) Since the release of the new season, xbox controller players are also locked to 20/20 deadzones and the linear setting is leaning towards an exponential feel at the moment. 3.) Fortnite isn't realizing inputs with trigger stoppers or paddles occasionally since the new update, resulting in affected inputs due to increased latency. Please fix all of these issues as it literally makes the game both unenjoyable and unplayable.

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Free Blender AI motion capture plugin — also compatible with UE and Unity. Connects to a 1080P webcam and runs locally with a 1-billion-parameter model, requiring 8GB of GPU memory for real-time processing. Supports single-camera real-time capture and video uploads with no limit on the number of uploads. Includes full-body, facial, and finger motion capture. Completely free to use.
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Free Blender AI motion capture plugin — also compatible with UE and Unity. Connects to a 1080P webcam and runs locally with a 1-billion-parameter model, requiring 8GB of GPU memory for real-time processing. Supports single-camera real-time capture and video uploads with no limit on the number of uploads. Includes full-body, facial, and finger motion capture. Completely free to use.

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Free Blender AI motion capture plugin — also compatible with UE and Unity. Connects to a 1080P webcam and runs locally with a 1-billion-parameter model, requiring 8GB of GPU memory for real-time processing. Supports single-camera real-time capture and video uploads with no limit on the number of uploads. Includes full-body, facial, and finger motion capture. Completely free to use.
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Free Blender AI motion capture plugin — also compatible with UE and Unity. Connects to a 1080P webcam and runs locally with a 1-billion-parameter model, requiring 8GB of GPU memory for real-time processing. Supports single-camera real-time capture and video uploads with no limit on the number of uploads. Includes full-body, facial, and finger motion capture. Completely free to use.

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Humanoids finally move like humans… and can do more than copy. [Details + demos in thread 👇] A new framework, BeyondMimic, shows how to learn naturalistic whole-body control from human motion. But then goes further by composing those skills into versatile, zero-shot policies. Two key pieces make it work: •Motion tracking pipeline: robustly turns human mocap into dynamic robot motions (jump spins, sprinting, cartwheels) on real hardware •Guided diffusion policy: distills motion primitives and enables zero-shot downstream tasks with simple cost functions The result: ✅ State-of-the-art motion quality from mocap tracking ✅ Versatile task execution; waypoint navigation, joystick teleop, obstacle avoidance ✅ Stable sim-to-real transfer for diverse humanoid skills Thank you for sharing, Qiayuan Liao! 📍 Paper: Video:
0:42

Humanoids finally move like humans… and can do more than copy. [Details + demos in thread 👇] A new framework, BeyondMimic, shows how to learn naturalistic whole-body control from human motion. But then goes further by composing those skills into versatile, zero-shot policies. Two key pieces make it work: •Motion tracking pipeline: robustly turns human mocap into dynamic robot motions (jump spins, sprinting, cartwheels) on real hardware •Guided diffusion policy: distills motion primitives and enables zero-shot downstream tasks with simple cost functions The result: ✅ State-of-the-art motion quality from mocap tracking ✅ Versatile task execution; waypoint navigation, joystick teleop, obstacle avoidance ✅ Stable sim-to-real transfer for diverse humanoid skills Thank you for sharing, Qiayuan Liao! 📍 Paper: Video:

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One of the hardest things to achieve with AI is precise character motion. The new model by Kinetix, Kamo-1, is amazing at giving you far more control over your generations. It’s also the first 3D-conditioned model, so it understands the scene in 3D and gives you almost unlimited camera motion. Let me show you how to use it 👇

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2:10

Most people with limited hip mobility try to improve it by forcing themselves into deep stretches or mobility positions to improve their flexibility and range of motion. However, this is sometimes counterproductive and there is a better way. Instead of trying to force yourself into a position you can’t access, try start working in the space you do have and then work out from there. Your body will thank you.

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Here's how to record motion data in VRChat💃 I've always done mocap in Unity, but a friend prefers VRChat’s beautiful and detailed IK. So I tested two reliable methods (Shader Motion and Json2Anim) and recorded the full process. Hope this helps! All tools and files you need are in the links below👇 I've been practicing guitar a lot lately for some big projects, so no new mocap videos for now. Let's start with tutorial videos instead🤫
7:25

Here's how to record motion data in VRChat💃 I've always done mocap in Unity, but a friend prefers VRChat’s beautiful and detailed IK. So I tested two reliable methods (Shader Motion and Json2Anim) and recorded the full process. Hope this helps! All tools and files you need are in the links below👇 I've been practicing guitar a lot lately for some big projects, so no new mocap videos for now. Let's start with tutorial videos instead🤫

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4:52

Here is the video on how to improve the performance for the #MW3 Beta. You can find all of the files require in the Discord under "MW3-BETA" If you require any help, feel free to create a ticket or fire me a message. The quality isn't the best, but ill fix this for next time!

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How do you give a humanoid the general motion capability? Not just single motions, but all motion? Introducing SONIC, our new work on supersizing motion tracking for natural humanoid control. We argue that motion tracking is the scalable foundation task for humanoids. So we "supersized" it: 9k+ GPU hours and 100M+ motion frames. But tracking alone is not enough; we show how to make a useful control system out of it: - Universal Kinematic Planner: Enables game-like gamepad control and high-level teleoperation, just like controlling a character in a game. - VR Full-Body Teleop: Direct, real-time whole-body control by a human wearing a VR headset. - VR Keypoint Teleop: Control the upper body (hands/head) while our planner handles robust locomotion automatically. - VLA Integration: We connect this motion tracker to autonomous Visual-Language-Action (VLA) models for autonomous task execution! We use a Universal Token Space to UNIFY this command space, turning our robust tracker into a general-purpose, programmable humanoid brain. This is the generalist "System 1" for humanoids. 🚀 Project: #Humanoids #Robotics #AI #FoundationModels #NVIDIAResearch 🧠🔥
1:32

How do you give a humanoid the general motion capability? Not just single motions, but all motion? Introducing SONIC, our new work on supersizing motion tracking for natural humanoid control. We argue that motion tracking is the scalable foundation task for humanoids. So we "supersized" it: 9k+ GPU hours and 100M+ motion frames. But tracking alone is not enough; we show how to make a useful control system out of it: - Universal Kinematic Planner: Enables game-like gamepad control and high-level teleoperation, just like controlling a character in a game. - VR Full-Body Teleop: Direct, real-time whole-body control by a human wearing a VR headset. - VR Keypoint Teleop: Control the upper body (hands/head) while our planner handles robust locomotion automatically. - VLA Integration: We connect this motion tracker to autonomous Visual-Language-Action (VLA) models for autonomous task execution! We use a Universal Token Space to UNIFY this command space, turning our robust tracker into a general-purpose, programmable humanoid brain. This is the generalist "System 1" for humanoids. 🚀 Project: #Humanoids #Robotics #AI #FoundationModels #NVIDIAResearch 🧠🔥

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To learn something new, I try to give myself a project. I wanted to learn how to use Mocap data in Unreal, and this is the end result of my first real try. Thanks to Marta Svetek🎙🎬🎭 from #FNAF for lending her voice! And to Winbush who got me started through School of Motion
0:29

To learn something new, I try to give myself a project. I wanted to learn how to use Mocap data in Unreal, and this is the end result of my first real try. Thanks to Marta Svetek🎙🎬🎭 from #FNAF for lending her voice! And to Winbush who got me started through School of Motion

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