This network is de- signed to learn diverse haze patterns using paired hazy and haze-free images (across multiple domains) and output a re- constructed version ...
Specifically, during the test time, the helper network evaluates the quality of the dehazing results, then directs the dehazing network to improve the quality ...
This network is de- signed to learn diverse haze patterns using paired hazy and haze-free images (across multiple domains) and output a re- constructed version ...
Towards Multi-Domain Single Image Dehazing via Test-Time Training ... Motivated by this observation, we propose a test-time training method which leverages a ...
Jan 30, 2024 · After few gradient updates, the proposed test-time training can improve the image quality. ... via a more efficient implementation of test-time ...
Jul 12, 2022 · Abstract. We offer a practical unpaired learning based image dehazing network from an unpaired set of clear and hazy images. This paper pro-.
AAAI 2022] Single-domain generalization in medical image segmentation via ... CVPR 2022] Towards multi-domain single image dehazing via test-time training [PDF] [ ...
People also ask
What is dehazing in image processing?
What is single image dehazing?
Towards multi-domain single image dehazing via test-time training. H Liu, Z ... A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer.
Extensive experimental results demonstrate that our approach can not only run 4K images with haze in real-time on a single GPU (80FPS) but also has unparalleled ...
Driven by the ability to explore internal information from a few unseen-domain samples, meta-learning is commonly adopted to address this issue via test-time ...