Dave Epstein.

I am a member of technical staff on the pre-training team at Anthropic. I received my PhD from UC Berkeley, advised by Alexei Efros and supported by the PD Soros Fellowship. Before that, I studied computer science at Columbia, where I worked with Carl Vondrick. My interests are in multimodal generative modeling.

Research.

  • Disentangled 3D Scene Generation with Layout Learning.
    Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski.
    PaperProject page
    ICML 2024.
  • Diffusion Self-Guidance for Controllable Image Generation.
    Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski.
    PaperProject page Talk Demo
    NeurIPS 2023.
  • BlobGAN: Spatially Disentangled Scene Representations. NEW!
    Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros.
    PaperProject page Talk Code Demo
    ECCV 2022.
  • Globetrotter: Unsupervised Multilingual Translation from Visual Alignment. NEW!
    Didac Suris, Dave Epstein, Carl Vondrick.
    PaperProject page
    CVPR 2022 (Oral).
  • Learning Temporal Dynamics from Cycles in Narrated Video.
    Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun.
    PaperProject Page Talk Blogpost
    ICCV 2021.
  • Learning Goals from Failure.
    Dave Epstein, Carl Vondrick.
    PaperProject pageTalk
    CVPR 2021.
  • Learning to Learn Words from Visual Scenes.
    Didac Suris*, Dave Epstein*, Heng Ji, Shih-Fu Chang, Carl Vondrick
    PaperProject pageTalk
    ECCV 2020.
  • Oops! Predicting Unintentional Action in Video.
    Dave Epstein, Boyuan Chen, Carl Vondrick.
    PaperProject PageTalk
    CVPR 2020.