Results 41 to 50 of about 24,691,873 (342)
Geometry-complete latent diffusion model for 3D molecule generation. [PDF]
BioinformaticsZhang Q +5 more
europepmc +3 more sources
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model [PDF]
IEEE International Conference on Computer Vision, 2022 Recent advances in diffusion models have set an impressive milestone in many generation tasks, and trending works such as DALL-E2, Imagen, and Stable Diffusion have attracted great interest.
Xingqian Xu +4 more
semanticscholar +1 more source
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model [PDF]
Computer Vision and Pattern Recognition, 2022 Generic image inpainting aims to complete a corrupted image by borrowing surrounding information, which barely generates novel content. By contrast, multi-modal inpainting provides more flexible and useful controls on the inpainted content, e.g., a text ...
Shaoan Xie +4 more
semanticscholar +1 more source
Use of Response Time for Measuring Cognitive Ability
Journal of Intelligence, 2016 The purpose of this paper is to review some of the key literature on response time as it has played a role in cognitive ability measurement, providing a historical perspective as well as covering current research.
Patrick C. Kyllonen, Jiyun Zu
doaj +1 more source
Diffusion Model-Based Image Editing: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine IntelligenceDenoising diffusion models have emerged as a powerful tool for various image generation and editing tasks, facilitating the synthesis of visual content in an unconditional or input-conditional manner.
Yi Huang +9 more
semanticscholar +1 more source
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography [PDF]
Neural Information Processing Systems, 2023 Current image steganography techniques are mainly focused on cover-based methods, which commonly have the risk of leaking secret images and poor robustness against degraded container images.
Jiwen Yu +3 more
semanticscholar +1 more source
HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation [PDF]
Computer Vision and Pattern Recognition, 2023 Recent text-to-3D methods employing diffusion models have made significant advancements in 3D human generation. However, these approaches face challenges due to the limitations of text-to-image diffusion models, which lack an understanding of 3D ...
Xin Huang +6 more
semanticscholar +1 more source
A Reduced-Order Model of Heat Transfer Effects on the Dynamics of Bubbles [PDF]
, 2002 The Rayleigh-Plesset equation has been used extensively to model spherical bubble dynamics, yet it has been shown that it cannot correctly capture damping effects due to mass and thermal diffusion.
Brennen, C. E. +2 more
core +1 more source
Autoregressive Diffusion Model for Graph Generation [PDF]
International Conference on Machine Learning, 2023 Diffusion-based graph generative models have recently obtained promising results for graph generation. However, existing diffusion-based graph generative models are mostly one-shot generative models that apply Gaussian diffusion in the dequantized ...
Lingkai Kong +5 more
semanticscholar +1 more source
Diffusion of multiple species with excluded-volume effects [PDF]
, 2012 Stochastic models of diffusion with excluded-volume effects are used to model many biological and physical systems at a discrete level. The average properties of the population may be described by a continuum model based on partial differential equations.
Bruna, M., Chapman, S. J.
core +3 more sources