AIMoCap

AIMoCap official website: Unlimited video mocap for animation and robotics.

HF Space:

[AIMoCap @aimocap]

AIMoCap - Turn any video into 3D animation.

Free to get started.
Unlimited mocap plans available.
Fast processing.
Stable foot contact.
Output Metahuman, Mixamo, MMD, cc&iClone, Roblox R15

[AIMoCap @aimocap]

AIMoCap now supports UE5 Manny.

We tested the same input video with QuickMagic and AIMoCap using the UE5 Manny character.

Comparison:
• Motion stability
• Foot contact
• Overall animation quality

AIMoCap supports:
UE5 Manny | MetaHuman | Mixamo | MMD | Roblox R15 | CC&iClone

One motion. Multiple character systems.

#aimocap #mocap #UnrealEngine #UE5 #MMD #roblox #GameDev

[AIMoCap @aimocap]

Interesting motion capture test! 👏

We also ran this type of motion through AIMoCap. We focused on motion stability and foot contact. Foot sliding is one of the areas we're continuously improving, especially for character animation workflows.

AIMoCap supports:
• MetaHuman / Default
• MMD (VMD)
• Mixamo
• Roblox R15
• CC & iClone

#aimocap #mocap #MotionCapture #MMD #Mixamo #Roblox #Animation

[taka23🍁ᔦ๑•ᴗ•๑ᔨ @taka23asuka]

次のフルのモーション候補として、またMARII様の動画をお借りしました

相変わらず腕がぐるんぐるんして、貫通して、横移動も滑ってるけど、比較的綺麗に取り込めていると思う

V2.0モデル対応の開発に期待しつつ、作りかけのショートのモーションとあわせて、ちまちまと修正していきます

#QuickMagic

[AIMoCap @aimocap]

AIMoCap - Turn any video into animation with one click.
✅ Free to get started
✅ Unlimited mocap tier for creators
✅ Fast processing, Stable foot contact

Invite & Earn with AIMoCap:
🎁 Earn 25 credits for every friend you invite
💰 Earn 15% commission on every payment

Try AIMoCap:
https://t.co/WH79GnAUol

#aimocap #mocap #MotionCapture #Animation #GameDev #mmd #roblox

[AIMoCap @aimocap]

@getcartwheel Great comparison! 👏

We were curious as well, so we ran the same source video through AIMoCap and shared our results here:
👉https://t.co/53gdl07eTg

Always interesting to see different approaches pushing AI motion capture forward.

[AIMoCap @aimocap]

Inspired by @getcartwheel 's recent comparison with Unreal Engine 5.8, we ran the same source video through AIMoCap. 👀

Every test clip in this video was processed in under 15 seconds, making it easier to quickly test, refine, and iterate on animations.

AIMoCap is available to try for free, and we also offer an unlimited usage tier for creators who need high-volume workflows. https://t.co/WH79GnAUol

We're also continuously improving motion quality, foot contact, and overall motion stability.

Curious to hear what you think!

#aimocap #MotionCapture #Animation #GameDev #MetaHuman

[AIMoCap @aimocap]

Inspired by @getcartwheel 's recent comparison with Unreal Engine 5.8, we ran the same source video through AIMoCap. 👀

Every test clip in this video was processed in under 15 seconds, making it easier to quickly test, refine, and iterate on animations.

AIMoCap is available to try for free, and we also offer an unlimited usage tier for creators who need high-volume workflows. https://t.co/WH79GnAUol

We're also continuously improving motion quality, foot contact, and overall motion stability.

Curious to hear what you think!

#aimocap #MotionCapture #Animation #GameDev #MetaHuman

[AIMoCap @aimocap]

Really impressive.However, it's also a good example of the challenges that almost every markerless mocap system still faces today—pose accuracy, motion quality, foot sliding.

These are exactly the areas we've been focusing on in AIMoCap, especially improving foot contact and overall body stability to achieve more natural-looking motion.

[RescapeGames @rescapegames]

I tried the new UE5 Markerless Motion Capture. Although it looks a bit goofy, I'm actually impressed with how well it tracked such a complex movement sequence.

The plugin is still experimental but if you keep things simple, it already seems to do a pretty good job.

If you plan on using it, make sure you have MetaHuman Creator Core Data checked in your Unreal Engine installation options. Plugin: https://t.co/KeCllWMULu

#gamedev #indiedev #indiegame #UnrealEngine5

[AIMoCap @aimocap]

Can AI capture this kind of performance? 👀

We tested an @ishowspeed dance clip and converted the motion into a MetaHuman animation using AIMoCap.

Video → 3D character motion

Curious what you think about the result.

#aimocap #MotionCapture #MetaHuman #3DAnimation #GameDev

[AIMoCap @aimocap]

AI Motion Capture Comparison 🎥

DeepMotion vs QuickMagic vs AIMoCap

Comparing:
• Motion quality and smoothness
• Foot contact & sliding
• Motion stability

Which result looks the most natural to you?

#aimocap #MotionCapture #quickmagic

[AIMoCap @aimocap]

AIMoCap Pipeline: Video → MMD / Mixamo / Roblox / CC

✅Person selection (multi-person video)
✅Tpose/Apose for easy retarget
✅Export in multiple skeleton and formats

#aimocap #MotionCapture #MMD #GameDev #Animation #Roblox #UnrealEngine

[AIMoCap @aimocap]

Unreal Engine 5.8 MetaHuman Animator vs QuickMagic vs AIMoCap

Thanks to @Shateiel3D @tianhao04 for putting together the comparison.

Interesting to compare how different motion capture pipelines handle motion quality, foot contact, and overall stability.

#aimocap #ue5

[AIMoCap @aimocap]

Turn any video into MMD animation.

🎥 Upload a video
🕺 Extract motion
🎭 Retarget to MMD characters

Now supported in AIMOCAP.

#MMD #MikuMikuDance #MotionCapture

[AIMoCap @aimocap]

Most humanoid datasets come from expensive mocap systems.

Recent experiment from ordinary videos:
🎭 Acting
🏃 Sports
⚔️ Combat
💃 Dance

→ Humanoid motion data

#Robotics #Humanoid #EmbodiedAI

https://t.co/KOn2MG2QrS

[AIMoCap @aimocap]

Combat motion is still one of the hardest cases for video-based mocap.

This result was generated from a Motion Actor performance clip (@jagar001) using AIMoCap.

Curious how people think it compares to current markerless mocap solutions.

https://t.co/NzXf9pwdcf

[Unreal Engine @UnrealEngine]

Introducing Epic’s version control system: Lore! Built from scratch and open-sourced, we made scalability and performance core tenets from day one.

We’re releasing Lore as open source today.All source code, along with documentation of data formats and protocols are released under an MIT license and free to use. Help shape it into something even more powerful, together: https://t.co/zplVMjkRof

[AIMoCap @aimocap]

our refinement model processes each human pose of video frame, and outpues the neutral human motion sequence.

❤️Free demo at: https://t.co/NzXf9pwdcf

[AI at Meta @AIatMeta]

Introducing SAM 3D, the newest addition to the SAM collection, bringing common sense 3D understanding of everyday images. SAM 3D includes two models:

🛋️ SAM 3D Objects for object and scene reconstruction

🧑‍🤝‍🧑 SAM 3D Body for human pose and shape estimation

Both models achieve state-of-the-art performance transforming static 2D images into vivid, accurate reconstructions.

🔗 Learn more: https://t.co/yXcvts8Ogc

[Jim Fan @DrJimFan]

Today, we enable AutoResearch in the physical world for the first time! Introducing ENPIRE: we give 8 Codex agents a fleet of robots, an allocation of GPUs, and generous token budget. We set them free with a simple goal: solve the task as quickly as possible, keep the robots busy but stay safe, don't waste precious compute. Make no mistake.

Then humans step aside and our watch begins. The robot fleet starts to come alive: they learn to look for visual clues, reset the scene, practice novel skills, tinker with control stack, read papers online, debate, reflect, get stuck, and try again directly on the hardware. All we did is to give Codex an API to the world of atoms, and the rest is emergence.

ENPIRE is able to solve high-precision tasks like tying zip-ties, organizing fine pins, and installing GPUs all by itself. We also discovered a new type of "physical scaling": 8 robots exploring in parallel improves significantly faster than fewer ones.

A part of our NVIDIA GEAR lab now self-improves tirelessly over night. We just read the reports in the morning.

/goal: we all take a holiday and Jensen wouldn't even notice ;)

We will be open-sourcing everything, so you can host your self-running robot lab at home too! Deep dive in the thread:

[AIMoCap @aimocap]

we process each human pose from SAM-3D-body by a sequence refine model, and output the high-quality motion, without jitter and foot sliding.

[AI at Meta @AIatMeta]

Introducing SAM 3D, the newest addition to the SAM collection, bringing common sense 3D understanding of everyday images. SAM 3D includes two models:

🛋️ SAM 3D Objects for object and scene reconstruction

🧑‍🤝‍🧑 SAM 3D Body for human pose and shape estimation

Both models achieve state-of-the-art performance transforming static 2D images into vivid, accurate reconstructions.

🔗 Learn more: https://t.co/yXcvts8Ogc

[SpaceXAI @SpaceXAI]

Grok Imagine Video 1.5 is here

Our new image-to-video model with sharper realism, better physics and faster generations 🧵

https://t.co/zGhs9czkC5

[AIMoCap @aimocap]

Can AI accurately capture subtle acting and realistic character motion? @xixiyusakana

🎭 Western Realistic acting
🎬 Video-to-motion capture
🦴 FBX export
🧑‍💻 Metahuman ready

#aimocap
#Metahuman
#UnrealEngine
#MotionCapture
#Animation
#GameDev

[Butz Yung @butz_yung]

It's nice to remind you that #XRAnimator is a FREE webcam-based mocap solution for VTubers, supporting full body and upper body mocap on Windows/Linux/macOS/mobile/web browser, everything with just a simple webcam📷
➡️https://t.co/hdnkD1ty4N