stability.ai/blog/stable-diffusion-v2-release
Stable Diffusion 2.0
Points: 1368 | Comments: 493 | Author: hardmaru
arxiv.org/abs/2212.11274v1
SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall…
Diffusion model is the most advanced method in image generation and has been successfully applied to MRI reconstruction. However, the existing methods do not consider the characteristics of multi-coil acquisition of MRI data. Therefore, we give a new...
arxiv.org/abs/1711.09703v1
Evaluation of Diffusion Weighted Imaging in the Context of Multi-Parametric MRI…
Data from a multi-parametric MRI study of patients with possible early-stage prostate cancer was assessed with a view to creating an efficient clinical protocol. Based on a correlation analysis suggesting that diffusion-weighted imaging (DWI) scores...
arxiv.org/abs/2410.21273v1
On Inductive Biases That Enable Generalization of Diffusion Transformers
Recent work studying the generalization of diffusion models with UNet-based denoisers reveals inductive biases that can be expressed via geometry-adaptive harmonic bases. However, in practice, more recent denoising networks are often based on transfo...
arxiv.org/abs/2411.18665v3
SpotLight: Shadow-Guided Object Relighting via Diffusion
Recent work has shown that diffusion models can serve as powerful neural rendering engines that can be leveraged for inserting virtual objects into images. However, unlike typical physics-based renderers, these neural rendering engines are limited by...
arxiv.org/abs/2407.10029v1
What Appears Appealing May Not be Significant! -- A Clinical Perspective of Diff…
Various trending image generative techniques, such as diffusion models, have enabled visually appealing outcomes with just text-based descriptions. Unlike general images, where assessing the quality and alignment with text descriptions is trivial, es...
arxiv.org/abs/2410.14398v3
Dynamic Negative Guidance of Diffusion Models
Negative Prompting (NP) is widely utilized in diffusion models, particularly in text-to-image applications, to prevent the generation of undesired features. In this paper, we show that conventional NP is limited by the assumption of a constant guidan...
arxiv.org/abs/1204.6406v1
Low Frequency Dielectric Loss of Metal/Insulator/Organic Semiconductor Junctions…
The complex admittance of metal/oxide/pentacene thin film junctions is investigated under ambient conditions. At low frequencies, a contribution attributed to proton diffusion through the oxide is seen. This diffusion is shown to be anomalous and is...
github.com/replicate/scribble-diffusion
replicate/scribble-diffusion
Turn your rough sketch into a refined image using AI (⭐ 2983)
arxiv.org/abs/2311.17175v3
Kicking it Off(-shell) with Direct Diffusion
Off-shell effects in large LHC backgrounds are crucial for precision predictions and, at the same time, challenging to simulate. We present a novel method to transform high-dimensional distributions based on a diffusion neural network and use it to g...
arxiv.org/abs/2406.04662v1
Evaluating and Mitigating IP Infringement in Visual Generative AI
The popularity of visual generative AI models like DALL-E 3, Stable Diffusion XL, Stable Video Diffusion, and Sora has been increasing. Through extensive evaluation, we discovered that the state-of-the-art visual generative models can generate conten...
arxiv.org/abs/2012.11789v2
Spatial and temporal dynamics of an almost periodic reaction-diffusion system fo…
In current paper, we put forward a reaction-diffusion system for West Nile virus in spatial heterogeneous and time almost periodic environment with free boundaries to investigate the influences of the habitat differences and seasonal variations on th...
arxiv.org/abs/2001.06223v1
Dynamics and Spreading Speed of a Reaction-Diffusion System with Advection Model…
This paper aims to explore the temporal-spatial spreading and asymptotic behaviors of West Nile virus by a reaction-advection-diffusion system with free boundaries, especially considering the impact of advection term on the extinction and persistence...
arxiv.org/abs/2503.19902v2
ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models
The inherent ambiguity in defining visual concepts poses significant challenges for modern generative models, such as the diffusion-based Text-to-Image (T2I) models, in accurately learning concepts from a single image. Existing methods lack a systema...
arxiv.org/abs/2501.11587v2
Recurrent Diffusion for Large-Scale Parameter Generation
Parameter generation has long struggled to match the scale of today large vision and language models, curbing its broader utility. In this paper, we introduce Recurrent Diffusion for Large Scale Parameter Generation (RPG), a novel framework that gene...
arxiv.org/abs/2108.06546v2
Pushed fronts of monostable reaction-diffusion-advection equations
In this paper, we prove some qualitative properties of pushed fronts for the periodic reaction-diffusion-equation with general monostable nonlinearities. Especially, we prove the exponential behavior of pushed fronts when they are approaching their u...
arxiv.org/abs/1110.1761v1
Inside dynamics of pulled and pushed fronts
We investigate the inside structure of one-dimensional reaction-diffusion traveling fronts. The reaction terms are of the monostable, bistable or ignition types. Assuming that the fronts are made of several components with identical diffusion and gro...
en.wikipedia.org/wiki/Diffusion_of_responsibility
Diffusion of responsibility - Wikipedia
Diffusion of responsibility is a sociopsychological phenomenon whereby a person is less likely to take responsibility for action or inaction when other
arxiv.org/abs/chao-dyn/9910008v1
The existence of Burnett coefficients in the periodic Lorentz gas
The linear super-Burnett coefficient gives corrections to the diffusion equation in the form of higher derivatives of the density. Like the diffusion coefficient, it can be expressed in terms of integrals of correlation functions, but involving fou...
arxiv.org/abs/2512.03749v1
Fully Unsupervised Self-debiasing of Text-to-Image Diffusion Models
Text-to-image (T2I) diffusion models have achieved widespread success due to their ability to generate high-resolution, photorealistic images. These models are trained on large-scale datasets, like LAION-5B, often scraped from the internet. However,...