Peizhuo Li
@PeizhuoLDirect doctorate student @ETH. I love to work with Deep Learning, Graphics and Animation!
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Thanks for posting our work! Join our live talk and Q&A session at 10:45am Wednesday at Mile High 4 to learn more! #SIGGRAPH2024
WalkTheDog Cross-Morphology Motion Alignment via Phase Manifolds We present a new approach for understanding the periodicity structure and semantics of motion datasets, independently of the morphology and skeletal structure of characters. Unlike existing methods using an overly…
The full recording of the workshop is now available 📽️📽️📽️ humogen.github.io youtube.com/watch?v=lkQ4sD…
🌟 A huge thank you to our incredible speakers, poster presenters, and the enthusiastic audience for making this event a success! 🙏👏 @CVPR #HuMoGen
Coming up tomorrow (Tue) morning🤩🤩🤩 Summit 430 - starting at 8:30 AM
HuMoGen @CVPR is happening next week🔥🔥🔥 [Tue, June 18, from 8:30 AM to 1:00 PM @ Summit 430] Don't miss out our great speakers and 21 accepted papers!! Full schedule @ humogen.github.io
HuMoGen @CVPR is happening next week🔥🔥🔥 [Tue, June 18, from 8:30 AM to 1:00 PM @ Summit 430] Don't miss out our great speakers and 21 accepted papers!! Full schedule @ humogen.github.io
[1/2] Excited about your paper being accepted to CVPR? Looking to extend its impact to more movers and shakers in the Human Motion Generation community? 🕺💡 Submit a one-page abstract to the HuMoGen Workshop at #CVPR2024 and reach an even broader audience! 📝✨ @CVPR #HuMoGen
The HuMoGen @CVPR deadline is in 6 days🙀🙀🙀 We invite you to submit your #MOTION papers! More details @ humogen.github.io
🔔🔔🔔HuMoGen @CVPR deadline is in three weeks!
We invite you to submit your Motion Generation papers to the HuMoGen @CVPR workshop! The deadline is on March 19 More details @ humogen.github.io
We invite you to submit your Motion Generation papers to the HuMoGen @CVPR workshop! The deadline is on March 19 More details @ humogen.github.io
Hello world🕺💃 We are HuMoGen - A #CVPR2024 workshop on Human Motion Generation. It seems that our field is moving faster than ever! In this workshop, we will discuss the state of the art and the future ahead with leading researchers from academia and the industry. Stay tuned!
Our codes and blender add-on are avaliable. If you are attending #SIGGRAPH2023, we can get a cup of coffee at any time :) Moreover, see our Labs Demo on Monday and Presentation on Wednesday. s2023.siggraph.org/session/?sess=… s2023.siggraph.org/presentation/?…
Example-based Motion Synthesis via Generative Motion Matching paper page: huggingface.co/papers/2306.00… present GenMM, a generative model that "mines" as many diverse motions as possible from a single or few example sequences. In stark contrast to existing data-driven methods, which…
Our Generative Motion Matching at #SIGGRAPH2023 now has a live demo online📢 Come and check out🎉 Thanks a lot for my amazing collaborators @weiyuli99072112, Xuelin Chen, @OlgaSorkineH and Baoquan Chen!
Thanks to @_akhaliq for sharing our work at #SIGGRAPH2023. We are thrilled to announce that GenMM has been fully launched, and excited to provide a demo powered by 🤗HuggingFace. With just a single click, everyone can now try it out. Pagepage: weiyuli.xyz/GenMM/
SIGGRAPH papers trailer is live! Some really amazing looking projects in there, and am really excited to see these talks in person. Lovin’ the squashed armadillo 😂 Our GANimator work is also featured! youtu.be/sK2EZE617pY
Thrilled to share "GANimator: Neural Motion Synthesis from a Single Sequence", in this upcoming #SIGGRAPH2022 🤩 GANimator can produce novel animations for unique creatures that don't have large motion datasets! For example, this hexapedal crab 🦀(1/4)
Check out our work on automatic rigging, skinning and high-quality blend shapes generation "Neural Blend Shapes" 🤯 #SIGGRAPH2021
📢📢 Introducing "Learning Skeletal Articulations with Neural Blend Shapes" #SIGGRAPH2021 We train a network to learn rigging, skinning, and blend shapes using "indirect" supervision: simply observing pairs of joint rotations + deformed shapes 🤯! 1/4 peizhuoli.github.io/neural-blend-s…
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