Preprint2020
mBART
Unknown
mBART pre-trains a multilingual sequence-to-sequence denoising auto-encoder on large-scale monolingual corpora using the BART objective, significantly improving machine translation.
0Jan 1, 2020
AI Research
AI & ML Research Papers
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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5 papersPreprintScientific Reports2021
TEMImageNet training library and AtomSegNet deep-learning models for high-precision atom segmentation, localization, denoising, and deblurring of atomic-resolution images
Ruoqian Lin, Rui Zhang, Chunyang Wang, et al.
This paper presents a deep-learning library and models for robust atom segmentation, localization, denoising, and deblurring in atomic-resolution STEM images, outperforming conventional methods.
139Mar 8, 2021
JournalACM Transactions on Graphics2019
Adversarial Monte Carlo denoising with conditioned auxiliary feature modulation
Bing Xu, Junfei Zhang, Rui Wang, et al.
This paper uses generative adversarial networks to denoise Monte Carlo renderings, producing more realistic high-frequency details and global illumination.
105Nov 8, 2019
ConferenceIEEE Transactions on Pattern Analysis and Machine Intelligence2022
Image Super-Resolution Via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan, et al.
SR3 adapts denoising diffusion probabilistic models to image super-resolution via iterative refinement, achieving near-perfect fool rates on face super-resolution.
2.6kJan 1, 2022Diffusion Models
arXiv
ConferenceIEEE Transactions on Pattern Analysis and Machine Intelligence2023
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, et al.
A comprehensive survey of denoising diffusion models in computer vision, covering theoretical frameworks, relations to other generative models, and future research directions.
2.2kMar 27, 2023Diffusion ModelsComputer Vision
arXiv