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Bill Peebles
Bill Peebles
Research Scientist at OpenAI
Verified email at openai.com - Homepage
Title
Cited by
Cited by
Year
Semantic photo manipulation with a generative image prior
D Bau, H Strobelt, W Peebles, J Wulff, B Zhou, JY Zhu, A Torralba
arXiv preprint arXiv:2005.07727, 2020
3442020
Seeing what a GAN cannot generate
D Bau, JY Zhu, J Wulff, W Peebles, H Strobelt, B Zhou, A Torralba
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
339*2019
Scalable diffusion models with transformers
W Peebles, S Xie
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2832023
The hessian penalty: A weak prior for unsupervised disentanglement
W Peebles, J Peebles, JY Zhu, A Efros, A Torralba
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1212020
GAN-supervised dense visual alignment
W Peebles, JY Zhu, R Zhang, A Torralba, AA Efros, E Shechtman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
552022
Morphology extension kit: A modular robotic platform for physically reconfigurable wearables
S Leigh, T Denton, K Parekh, W Peebles, M Johnson, P Maes
Proceedings of the Twelfth International Conference on Tangible, Embedded …, 2018
30*2018
Learning to learn with generative models of neural network checkpoints
W Peebles, I Radosavovic, T Brooks, AA Efros, J Malik
arXiv preprint arXiv:2209.12892, 2022
272022
Video Generation Models as World Simulators
T Brooks, B Peebles, C Holmes, W DePue, Y Guo, L Jing, D Schnurr, ...
https://openai.com/research/video-generation-models-as-world-simulators, 2024
25*2024
Generative Models of Images and Neural Networks
WS Peebles
University of California, Berkeley, 2023
2023
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