Discover and read the best of Twitter Threads about #SMPL
Most recents (3)
I repeat: Easily produced science text that's wrong does not advance science, improve science productivity, or make science more accessible. I like research on LLMs but the blind belief in their goodness does a disservice to them and science. Here is an example from #ChatGPT 1/5 
SMPL is actually short for Skinned Multi-Person Linear model. #SMPL is a popular 3D model of the body that's based on linear blend skinning with pose-corrective blend shapes. It's learned from 3D scans of people, making it accurate and compatible with rendering engines. 2/5
Despite what #ChatGPT thinks, it wasn't developed at Berkeley or the MPI for Informatics. It was developed in the @PerceivingSys department of the @MPI_IS (the Max Planck Institute for Intelligent Systems). Run it again and you'll get different answers every time. 3/5
Today I joined the @ClipeCurie training workshop to present all the technical work of the libraries we have produced on Avatars and avatar animations while at @MSFTResearch. Some notes. 🧵
1/ I❤️ the @HorizonEU projects that have a special focus on training students on the @MSCActions. CLIPE is creating very consequential tools and future leaders in the space. With folks truly collaborating across the continent @Inria, @MPICybernetics, @ucl @UCYOfficial, @la_UPC ++
2/My work has been growing & growing, from avatars to locomotion to Haptics to cognition to interaction to real-time systems. It feels great to give a very focused talk on just 1 TOPIC. For the longest time I wanted to focus on our open sourcing effort on Avatars @MSFTResearch
Avatars are central to the success of the #metaverse and #metacommerce. We need different #avatars for different purposes: accurate #3D digital doubles for shopping, realistic looking for #telepresence, stylized for fun, all with faces & hands. @meshcapade makes this easy. (1/8)
For on-line shopping, clothing try-on, and fitness, an avatar should be realistic – your digital twin. You need a true digital double to see how clothing will look in motion. But, creating avatars that are accurate enough for shopping is hard. (2/8)
Since it’s hard to 3D scan everyone, digital doubles must be created from a few images or a video. Existing methods require users to wear tight clothes and have cumbersome capture protocols. @Meshcapade uses a single image of a person in any pose, making creation easy. (3/8)
