Bichen Wu
Computer vision researcher; first author of Meta's Fairy video-editing paper and of FBNet
Bichen Wu's GitHub profile describes Wu as a research scientist in AI, and the work cited here covers efficient computer vision and generative video. Wu is first author of Fairy (2023), a paper from GenAI at Meta that adapts image-editing diffusion models for fast, instruction-guided video-to-video editing. Earlier, while listed with UC Berkeley, Wu was first author of FBNet (2018), a differentiable neural architecture search method for designing accurate and efficient ConvNets for mobile devices; the paper notes that Wu's work on it was done while interning at Facebook.123
Work
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis (external site: arxiv.org)Published research
First author of the 2023 paper from GenAI, Meta introducing Fairy, which uses anchor-based cross-frame attention to extend image-editing diffusion models to video editing.2
FBNet (external site: arxiv.org)Published research
First author of the 2018 FBNet paper proposing differentiable neural architecture search for hardware-aware, efficient ConvNets on mobile devices.3
Other documented roles
Roles the sources document but that are not confirmed as current.
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