Scalable diffusion models with transformers W Peebles, S Xie Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 757 | 2023 |
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 | 391* | 2019 |
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 | 370 | 2020 |
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 | 186* | 2024 |
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 | 127 | 2020 |
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 | 69 | 2022 |
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 | 40 | 2022 |
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 |
Generative Models of Images and Neural Networks WS Peebles University of California, Berkeley, 2023 | | 2023 |