🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

I am happy to share our work on motion in-betweening with phase manifolds ACM / EG Symposium on Computer Animation for producing realistic character animations from a small number of keyframes. Please meet us in LA August 4th for the presentation. - with Sebastian Starke Full Video: youtu.be/MbS1YcKhyyA

I am very thrilled to have received the SCA Doctoral Dissertation Award for my research on data-driven neural character controllers. Many thanks especially to my supervisor Taku Komura as well as to my various collaborators who helped make this happen. computeranimation.org/awards/

Excited to share that the launch of our "Generative Legs" was announced last week at Meta Connect. This ML based technology allows to generate a realistic full body motion given the available tracking signal of the VR headset without additional sensors, in real time.

Something I worked on for Unreal 5.3 is a new experimental "Dead Blending" node - it's a drop-in replacement to the Inertialization node which often produces better blends when the animations are not synced or you have frequent transitions. theorangeduck.com/page/dead-blen…

WHAM defines the new state of the art in 3D human pose estimation from video. By a large margin. It’s fast, accurate, and it computes human pose in world coordinates. It’s also the first video-based method to be more accurate than single-image methods. 1/8

We're excited to announce the release of Inside-Out Body Tracking, the first vision-based tracking system for mapping out upper body movements with Quest 3, as well as an AI update that generates plausible leg motions for all Quest devices, Generative Legs ocul.us/3tOBpq0

✨ICLR 2024 Spotlight Still hand-labeling phases or tuning GANs with your trajectories? We propose FLD, a self-supervised representation method that extracts spatial-temporal relationships in high-dimensional trajectories. RL policies informed by FLD show extended generality.🧵

I’ll be going to my first-ever in-person GDC tomorrow, super excited! 👾👾👾 Let me know anyone if you want to meet up!

Interested in upgrading your Motion Matching system? Check out our #SIGGRAPH2024 work where we introduce *Codebook Matching* to train neural character controllers for synthesizing lifelike embodied animations in #Games and #VR! Project Page: github.com/sebastianstark…

The code, dataset and demos for our #SIGGRAPH2024 work on generating embodied avatar movements with Codebook Matching are now available! Everything can be found on the project page, including a precompiled binary that you can play around with! github.com/sebastianstark…

New video - New AI: This Is A Gaming Revolution! youtu.be/2zGhxnoKBWc

Want to #WalkTheDog in the metaverse? In our project at #SIGRAPH2024 with Sebastian Starke , Yuting Ye and Olga Sorkine-Hornung, we develop an approach to learn a common 1D phase manifold from motion datasets across different morphologies, *without* any supervision (1/2)

Had some really good demo session at the #SIGGRAPH2024 Experience Hall today with Paul Starke to showcase our paper on Categorical Codebook Matching! Our technical paper presentation is on Thursday in the Character Control session, come join us there!

Animation quality is a difficult subject that I think we've not quite got to grips with yet as a community. My latest blog post shares some of my own thoughts on the subject. My hope is it can kickstart some discussions... or at least new dance moves! theorangeduck.com/page/animation…

Our work on codebook matching for character control has been featured in the new Unity 6 release. Super excited! With Paul Starke

The 2nd 3D HUMANS workshop is back at #CVPR2025! 📍Join us on June 12 afternoon in Nashville for a 2025 perspective on 3D human perception, reconstruction & synthesis. 🖼️ Got a CVPR paper on 3D humans? Nominate it to be featured in our poster session! 👉 tinyurl.com/3d-humans-2025