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Diffusion models in medical imaging: A comprehensive survey
Denoising diffusion models, a class of generative models, have garnered immense interest
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
[HTML][HTML] Deep learning in computer vision: A critical review of emerging techniques and application scenarios
Deep learning has been overwhelmingly successful in computer vision (CV), natural
language processing, and video/speech recognition. In this paper, our focus is on CV. We …
language processing, and video/speech recognition. In this paper, our focus is on CV. We …
Adding conditional control to text-to-image diffusion models
We present ControlNet, a neural network architecture to add spatial conditioning controls to
large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large …
large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large …
Learning a simple low-light image enhancer from paired low-light instances
Abstract Low-light Image Enhancement (LIE) aims at improving contrast and restoring
details for images captured in low-light conditions. Most of the previous LIE algorithms adjust …
details for images captured in low-light conditions. Most of the previous LIE algorithms adjust …
Elucidating the design space of diffusion-based generative models
We argue that the theory and practice of diffusion-based generative models are currently
unnecessarily convoluted and seek to remedy the situation by presenting a design space …
unnecessarily convoluted and seek to remedy the situation by presenting a design space …
Instant neural graphics primitives with a multiresolution hash encoding
Neural graphics primitives, parameterized by fully connected neural networks, can be costly
to train and evaluate. We reduce this cost with a versatile new input encoding that permits …
to train and evaluate. We reduce this cost with a versatile new input encoding that permits …
Nitrogen-fixing organelle in a marine alga
Symbiotic interactions were key to the evolution of chloroplast and mitochondria organelles,
which mediate carbon and energy metabolism in eukaryotes. Biological nitrogen fixation, the …
which mediate carbon and energy metabolism in eukaryotes. Biological nitrogen fixation, the …
Data-driven regularization lowers the size barrier of cryo-EM structure determination
Macromolecular structure determination by electron cryo-microscopy (cryo-EM) is limited by
the alignment of noisy images of individual particles. Because smaller particles have weaker …
the alignment of noisy images of individual particles. Because smaller particles have weaker …
Nerf in the dark: High dynamic range view synthesis from noisy raw images
Abstract Neural Radiance Fields (NeRF) is a technique for high quality novel view synthesis
from a collection of posed input images. Like most view synthesis methods, NeRF uses …
from a collection of posed input images. Like most view synthesis methods, NeRF uses …
Ai-generated content (aigc): A survey
J Wu, W Gan, Z Chen, S Wan, H Lin - arxiv preprint arxiv:2304.06632, 2023 - arxiv.org
To address the challenges of digital intelligence in the digital economy, artificial intelligence-
generated content (AIGC) has emerged. AIGC uses artificial intelligence to assist or replace …
generated content (AIGC) has emerged. AIGC uses artificial intelligence to assist or replace …