Tootfinder

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation
Yucheng Wang, Dan Xu
https://arxiv.org/abs/2507.05092

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation
Audio-driven talking head generation is critical for applications such as virtual assistants, video games, and films, where natural lip movements are essential. Despite progress in this field, challenges remain in producing both consistent and realistic facial animations. Existing methods, often based on GANs or UNet-based diffusion models, face three major limitations: (i) temporal jittering caused by weak temporal constraints, resulting in frame inconsistencies; (ii) identity drift due to ins…

Following Abrego Garcia’s indictment, Ben Schrader, a high-level DOJ official within the U.S. Attorney’s Office in Nashville
(where the charges against Abrego Garcia were filed)
abruptly resigned from his position.
While Schrader, who ran that office’s criminal division, did not explicitly state that he resigned over the charges,
sources told ABC News that his decision was based on concerns that the allegations against Abrego Garcia were politically motivated.
A…

DOJ Official Resigns After Trump Administration Charges Kilmar Abrego Garcia
Critics say the administration’s human trafficking charges against Abrego Garcia should be viewed with skepticism.

FB-Diff: Fourier Basis-guided Diffusion for Temporal Interpolation of 4D Medical Imaging
Xin You, Runze Yang, Chuyan Zhang, Zhongliang Jiang, Jie Yang, Nassir Navab
https://arxiv.org/abs/2507.04547

FB-Diff: Fourier Basis-guided Diffusion for Temporal Interpolation of 4D Medical Imaging
The temporal interpolation task for 4D medical imaging, plays a crucial role in clinical practice of respiratory motion modeling. Following the simplified linear-motion hypothesis, existing approaches adopt optical flow-based models to interpolate intermediate frames. However, realistic respiratory motions should be nonlinear and quasi-periodic with specific frequencies. Intuited by this property, we resolve the temporal interpolation task from the frequency perspective, and propose a Fourier b…

Transient segregation of bi-disperse granular mixtures in a periodic chute flow
Soniya Kumawat, Vishnu Kumar Sahu, Anurag Tripathi
https://arxiv.org/abs/2507.04025

Transient segregation of bi-disperse granular mixtures in a periodic chute flow
Transient size segregation of a bi-disperse granular mixture flowing over a periodic chute is studied using the Discrete Element Method and continuum simulations. A recently developed particle force-based size segregation model is used to predict the time-dependent flow properties of binary mixtures starting from rest. A two-way coupled continuum model that solves the momentum balance and convection-diffusion equations by incorporating the mixture segregation model along with the generalized in…

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization
Shihao Fu, Yan Lei
https://arxiv.org/abs/2505.24079 https://

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization
Test cases are indispensable for conducting effective fault localization (FL). However, test cases in practice are severely class imbalanced, i.e. the number of failing test cases (i.e. minority class) is much less than that of passing ones (i.e. majority class). The severe class imbalance between failing and passing test cases have hindered the FL effectiveness. To address this issue, we propose PCD-DAug: a Principal Context-aware Diffusion guided Data Augmentation approach that generate syn…

A post from the archive 📫:
Invalid Access to memory location in KUDU App Services
https://www.poppastring.com/blog/invalid-access-to-memory-location-in-kudu-app-services

Weak solutions for coupled reaction-diffusion systems with pattern formation by a stochastic fixed point theorem
Erika Hausenblas, Michael A. H\"ogele, Tesfalem A. Tegegn
https://arxiv.org/abs/2507.01159

Weak solutions for coupled reaction-diffusion systems with pattern formation by a stochastic fixed point theorem
Chemical and biochemical reactions can exhibit surprisingly different behaviours, ranging from multiple steady-state solutions to oscillatory solutions and chaotic behaviours. These types of systems are often modelled by a system of reaction-diffusion equations coupled by a nonlinearity. In the article, we study the existence of stochastically perturbed equations of this type. In particular, we show the existence of a probabilitic weak solution of the following stochastic system \begin{align*} …

Ransomware Group Anubis has leaked what they extracted from Disneyland Paris
#ransomware

Ransomware.live 👀
Ransomware.live tracks ransomware groups and their activity. It was created by Julien Mousqueton, a security researcher. The website provides information on the groups' infrastructure, victims, and payment demands. It also includes a live map that shows the latest ransomware attacks.

I rarely leave my neighborhood these days, so when the opportunity came last weekend to visit a town about 80 km from my home, I took a little detour to visit and take photos of the town’s only national historical marker.
(Those who have been following me long enough know that documenting historical markers in #Wikidata and

Landing at Nasugbu historical marker
NHI historical marker for the landing of the American forces at Nasugbu during World War II

Structural Order Drives Diffusion in a Granular Packing
David Luce, Adrien Gans, S\'ebastien Kiesgen de Richter, Nicolas Vandewalle
https://arxiv.org/abs/2507.00684

Structural Order Drives Diffusion in a Granular Packing
We investigate how structural ordering, i.e. crystallization, affects the flow of bidisperse granular materials in a quasi-two-dimensional silo. By systematically varying the mass fraction of two particle sizes, we finely tune the degree of local order. Using high-speed imaging and kinematic modeling, we show that crystallization significantly enhances the diffusion length $b$, a key parameter controlling the velocity profiles within the flowing medium. We reveal a strong correlation between $b…