www.bing.com/ck/a?!&&p=563e30bf3767d24fe1c570f363b40df283d58ead100a065dc8b4a132cf67c33aJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=23327bde-9e90-6f89-34c2-6ccc9ffa6ef9&u=a1aHR0cHM6Ly9vcGVucmV2aWV3Lm5ldC9mb3J1bT9pZD1QakllNkllc0Vt&ntb=1
Sep 27, 2024 · Membership inference and memorization is a key challenge with diffusion models. Mitigating such vulnerabilities is hence an important topic. The idea of using an ensemble of model is …
arxiv.org/abs/2305.06710v4
Classifier-free guidance is an effective sampling technique in diffusion models that has been widely adopted. The main idea is to extrapolate the model in the direction of text guidance and away from null-text guidance. In this paper, we demonstrate...
arxiv.org/abs/q-bio/0511025v1
Simple random walk considerations are used to interpret rodent population data collected in Hantavirus-related investigations in Panama regarding the short-tailed cane mouse, \emph{Zygodontomys brevicauda}. The diffusion constant of mice is evaluat...
arxiv.org/abs/2403.04279v2
In the rapidly advancing realm of visual generation, diffusion models have revolutionized the landscape, marking a significant shift in capabilities with their impressive text-guided generative functions. However, relying solely on text for condition...
arxiv.org/abs/2503.09669v1
Text-to-image diffusion models have achieved remarkable success in generating high-quality contents from text prompts. However, their reliance on publicly available data and the growing trend of data sharing for fine-tuning make these models particul...
arxiv.org/abs/2403.08758v1
Current deep learning reconstruction for accelerated cardiac cine MRI suffers from spatial and temporal blurring. We aim to improve image sharpness and motion delineation for cine MRI under high undersampling rates. A spatiotemporal diffusion enhance...
arxiv.org/abs/cond-mat/0011271v1
It is shown that the single-step periodic signal (periodic telegraph signal) can not produce coherent stochastic resonance for diffusion on a segment with one absorbing and one reflecting end points while the multi-step periodic signal does. The ge...
arxiv.org/abs/2406.09292v2
We address the problem of multi-object 3D pose control in image diffusion models. Instead of conditioning on a sequence of text tokens, we propose to use a set of per-object representations, Neural Assets, to control the 3D pose of individual objects...
www.bing.com/ck/a?!&&p=3307594f7d694cb911aec10508774d7262fe1f5fb2233f4c9bc88e200e958caeJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=3e18e442-3134-60c8-3ac6-f35030f36115&u=a1aHR0cHM6Ly93d3cucnVnYnlyYW1hLmZyL3Byb2dyYW1tZS10di8&ntb=1
Suivez l’ensemble des matchs de rugby avec notre programme TV Rugby ! Retrouvez les dates, horaires, chaînes de diffusion pour chaque rencontre. Que vous soyez fan du Top 14, de...
arxiv.org/abs/1707.03241v2
We study internal diffusion-limited aggregation with random starting points on Z^d. In this model, each new particle starts from a vertex chosen uniformly at random on the existing aggregate. We prove that the limiting shape of the aggregate is a Euc...
arxiv.org/abs/1702.06661v1
In this study, the authors develop a structural model that combines a macro diffusion model with a micro choice model to control for the effect of social influence on the mobile app choices of customers over app stores. Social influence refers to the...
arxiv.org/abs/2503.03790v1
Diffusion MRI (dMRI) plays a crucial role in studying brain white matter connectivity. Cortical surface reconstruction (CSR), including the inner whiter matter (WM) and outer pial surfaces, is one of the key tasks in dMRI analyses such as fiber tract...
arxiv.org/abs/2409.00654v1
We introduce Seed-to-Seed Translation (StS), a novel approach for Image-to-Image Translation using diffusion models (DMs), aimed at translations that require close adherence to the structure of the source image. In contrast to existing methods that m...
arxiv.org/abs/2402.17113v4
We present LayerDiffuse, an approach enabling large-scale pretrained latent diffusion models to generate transparent images. The method allows generation of single transparent images or of multiple transparent layers. The method learns a "latent tran...
arxiv.org/abs/2512.16586v1
Diffusion models have shown remarkable capacity in image synthesis based on their U-shaped architecture and convolutional neural networks (CNN) as basic blocks. The locality of the convolution operation in CNN may limit the model's ability to underst...
arxiv.org/abs/2312.00845v1
Text-to-video diffusion models have advanced video generation significantly. However, customizing these models to generate videos with tailored motions presents a substantial challenge. In specific, they encounter hurdles in (a) accurately reproducin...
arxiv.org/abs/2410.10429v1
We propose DOME, a diffusion-based world model that predicts future occupancy frames based on past occupancy observations. The ability of this world model to capture the evolution of the environment is crucial for planning in autonomous driving. Comp...
arxiv.org/abs/0712.3323v6
In this paper we show that the optimal exercise boundary / free boundary of the American put option pricing problem for jump diffusions is continuously differentiable (except at the maturity). This differentiability result has been established by Y...
arxiv.org/abs/2512.18071v1
Accurate channel impulse response (CIR) modeling in molecular communication (MC) often requires solving coupled reactive diffusion-advection equations, which is computationally expensive for large parameter sweeps or design loops. We develop a deep-l...
arxiv.org/abs/2001.08432v1
Political systems shape institutions and govern institutional change supporting economic performance, production and diffusion of technological innovation. This study shows, using global data of countries, that institutional change, based on a progre...
