Results 41 to 50 of about 12,561,993 (296)

Powers of layers for image-to-image translation

CoRR, 2020
We propose a simple architecture to address unpaired image-to-image translation tasks: style or class transfer, denoising, deblurring, deblocking, etc. We start from an image autoencoder architecture with fixed weights. For each task we learn a residual block operating in the latent space, which is iteratively called until the target domain is reached.
Hugo Touvron, Matthijs Douze, Matthieu Cord, Hervé Jégou   +3 more
openaire   +2 more sources

Frequency-Aware Axial-ShiftedNet in Generative Adversarial Networks for Visible-to-Infrared Image Translation

IEEE Access
Infrared imagery is indispensable for capturing temperature data by detecting infrared radiation, particularly in challenging environments characterized by low-light conditions where visual perception is compromised.
Hsi-Ju Lin, Wei-Yuan Cheng, Duan-Yu Chen
doaj   +1 more source

StyleFlow For Content-Fixed Image to Image Translation [PDF]

, 2022
Image-to-image (I2I) translation is a challenging topic in computer vision. We divide this problem into three tasks: strongly constrained translation, normally constrained translation, and weakly constrained translation. The constraint here indicates the
Chen, Jinghuan, Ma, Jiabin, Yi, Shuai, Fan, Weichen, Hou, Jun   +4 more
core   +1 more source

Explainable Feature-Injected Diffusion Model for Medical Image Translation

IEEE Access
The integration of computed tomography (CT) and magnetic resonance (MR) imaging is crucial for accurate medical diagnosis and treatment planning. However, translating images between CT and MR remains challenging due to significant differences in imaging ...
Jung Su Ahn, Ki Hoon Kwak, Young-Rae Cho
doaj   +1 more source

Deliberation Learning for Image-to-Image Translation [PDF]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Image-to-image translation, which transfers an image from a source domain to a target one, has attracted much attention in both academia and industry. The major approach is to adopt an encoder-decoder based framework, where the encoder extracts features from the input image and then the decoder decodes the features and generates an image in the target ...
Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan 0003, Di He 0001, Tao Qin 0001, Zhibo Chen 0001   +6 more
openaire   +1 more source

Dublin City University at CLEF 2004: experiments with the ImageCLEF St Andrew's collection [PDF]

, 2004
For the CLEF 2004 ImageCLEF St Andrew's Collection task the Dublin City University group carried out three sets of experiments: standard cross-language information retrieval (CLIR) runs using topic translation via machine translation (MT), combination ...
Lam-Adesina, Adenike M., Mellebeek, Bart, Way, Andy, Jones, Gareth J.F., Groves, Declan, Khasin, Anna   +5 more
core   +1 more source

Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X

Remote Sensing, 2018
With more and more SAR applications, the demand for enhanced high-quality SAR images has increased considerably. However, high-quality SAR images entail high costs, due to the limitations of current SAR devices and their image processing resources.
Dongyang Ao, Corneliu Octavian Dumitru, Gottfried Schwarz, Mihai Datcu   +3 more
doaj   +1 more source

Unsupervised Image-to-Image Translation Networks

CoRR, 2017
Unsupervised image-to-image translation aims at learning a joint distribution of images in different domains by using images from the marginal distributions in individual domains. Since there exists an infinite set of joint distributions that can arrive the given marginal distributions, one could infer nothing about the joint distribution from the ...
Ming-Yu Liu 0001, Thomas M. Breuel, Jan Kautz   +2 more
openaire   +3 more sources

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari, Regina Hadi Putri, Fatimah Assyifa, Judith Spijkerman, Gertjan Johannes Kaspers, Susi Susanah   +5 more
wiley   +1 more source

A Diffusion Model Translator for Efficient Image-to-Image Translation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Applying diffusion models to image-to-image translation (I2I) has recently received increasing attention due to its practical applications. Previous attempts inject information from the source image into each denoising step for an iterative refinement, thus resulting in a time-consuming implementation.
Mengfei Xia, Yu Zhou 0076, Ran Yi 0002, Yong-Jin Liu 0001, Wenping Wang 0001   +4 more
openaire   +5 more sources