Ddp: Diffusion model for dense visual prediction

Y Ji, Z Chen, E Xie, L Hong, X Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
We propose a simple, efficient, yet powerful framework for dense visual predictions based
on the conditional diffusion pipeline. Our approach follows a" noise-to-map" generative …
被引用次数：61 相关文章

DDP: Diffusion Model for Dense Visual Prediction

Y Ji, Z Chen, E Xie, L Hong, X Liu, Z Liu, T Lu… - arXiv e …, 2023 - ui.adsabs.harvard.edu
We propose a simple, efficient, yet powerful framework for dense visual predictions based
on the conditional diffusion pipeline. Our approach follows a" noise-to-map" generative …

DDP: Diffusion Model for Dense Visual Prediction

Y Ji, Z Chen, E Xie, L Hong, X Liu, Z Liu… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
We propose a simple, efficient, yet powerful framework for dense visual predictions based
on the conditional diffusion pipeline. Our approach follows a" noise-to-map" generative …

DDP: Diffusion Model for Dense Visual Prediction

Y Ji, Z Chen, E Xie, L Hong, X Liu, Z Liu, T Lu… - 2023 IEEE/CVF …, 2023 - computer.org
We propose a simple, efficient, yet powerful framework for dense visual predictions based
on the conditional diffusion pipeline. Our approach follows a" noise-to-map" generative …

DDP: Diffusion model for dense visual prediction

Y Ji, Z Chen, E Xie, L Hong, X Liu, Z Liu, T Lu… - … 02/10/2023-06/10/2023 …, 2023 - hub.hku.hk
We propose a simple, efficient, yet powerful framework for dense visual predictions based
on the conditional diffusion pipeline. Our approach follows a" noise-to-map" generative …

DDP: Diffusion Model for Dense Visual Prediction

Y Ji, Z Chen, E Xie, L Hong, X Liu, Z Liu, T Lu… - arXiv preprint arXiv …, 2023 - arxiv.org
We propose a simple, efficient, yet powerful framework for dense visual predictions based
on the conditional diffusion pipeline. Our approach follows a" noise-to-map" generative …