Jingwei Ma
@JingweiMa2
PhD student at GRAIL, University of Washington
Very cool work. The 3D reconstruction details are impressive!
🚀 Introducing NormalFlow: the state-of-the-art tactile tracking algorithm! Just by touch 👇, it precisely tracks objects—even with minimal texture—and can even reconstruct objects! 🌟 project page: joehjhuang.github.io/normalflow/ paper (RA-L): ieeexplore.ieee.org/document/10766… ⬇️(1/4)
🤯WOW🪆Matryoshka Representation Learning enables "native support for shortening embs" &"very flexible usage" Jokes aside, excited that @OpenAI serves MRL by default in v3 embedding API for retrieval & RAG! Other models & services should catch-up soon😄 arxiv.org/abs/2205.13147
Quality is impressive!
InstructPix2Pix: Learning to Follow Image Editing Instructions abs: arxiv.org/abs/2211.09800 project page: timothybrooks.com/instruct-pix2p… InstructPix2Pix, trained on generated data, and generalizes to real images and user-written instructions at inference time
Tomorrow at ECCV, we are presenting “Totems: Physical Objects for Verifying Visual Integrity” Remember totems from Inception? We tried to make something *a bit* like that in reality. website: jingweim.github.io/totems/ paper: arxiv.org/abs/2209.13032 1/n