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Found 6 papers, 4 papers with code
UDPM: Upsampling Diffusion Probabilistic Models
In this work, we propose to generalize the denoising diffusion process into an Upsampling Diffusion Probabilistic Model (UDPM), in which we reduce the latent variable dimension in addition to the traditional noise level addition.
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
To test the abilities of computer vision models on this task, we present the VisDA 2022 Challenge on Domain Adaptation for Industrial Waste Sorting.
ADIR: Adaptive Diffusion for Image Reconstruction
In recent years, denoising diffusion models have demonstrated outstanding image generation performance.
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
This new data has a reduced domain gap from the desired target domain, which facilitates the applied UDA approach to close the gap further.
Ranked #5 on
Semantic Segmentation
on SYNTHIA-to-Cityscapes
(using extra training data)
Unsupervised Domain Generalization by Learning a Bridge Across Domains
The ability to generalize learned representations across significantly different visual domains, such as between real photos, clipart, paintings, and sketches, is a fundamental capacity of the human visual system.
Image Restoration by Deep Projected GSURE
In the first one, where no explicit prior is used, we show that the proposed approach outperforms other internal learning methods, such as DIP.
