Results 81 to 90 of about 486,752 (312)
The Principles of Diffusion Models
This monograph presents the core principles that have guided the development of diffusion models, tracing their origins and showing how diverse formulations arise from shared mathematical ideas. Diffusion modeling starts by defining a forward process that gradually corrupts data into noise, linking the data distribution to a simple prior through a ...
Chieh-Hsin Lai +4 more
openaire +2 more sources
Generating high-fidelity surround view images from text prompts is a complex task that requires balancing contextual coherence with computational efficiency. The proposed work introduces a novel methodology that combines recurrent attention-based encoder-
Ramyashree +5 more
doaj +1 more source
Unlocking the Potential of Diffusion Models Through Efficiency
Diffusion models have become a cornerstone of generative modeling, excelling in tasks such as image creation, text synthesis, audio generation, and scientific simulations.
Yacoub, Imaan, Dina, Rasim
core +1 more source
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
We propose SynAdult, a multimodal synthetic data generation framework designed to address the scarcity of diverse and privacy-compliant senior adult face datasets for biometric applications and facial analysis.
Muhammad Ali Farooq +3 more
doaj +1 more source
Investigating effects from restricted diffusion in multi-component diffusion data
We have investigated model systems in which effects from non-Gaussian restricted diffusion could be separated from effects caused by multiple diffusion coefficients. We applied various models to analyze the experimental data.
Pavlin, Tina, Seland, John Georg
core
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
DADSR: Degradation-Aware Diffusion Super-Resolution Model for Object-Level SAR Image
Synthetic aperture radar (SAR) plays a vital role in remote sensing applications but suffers from coupled degradation problems, including resolution deterioration, speckle noise, and defocusing effects, primarily caused by system limitations, imaging ...
Zilong Chen +4 more
doaj +1 more source
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
SceneDiffusion: Scene Generation Model Embedded with Spatial Constraints
Spatial scenes, as fundamental units of geospatial cognition, encompass rich objects and spatial relationships, and their generation techniques hold significant application value in disaster simulation and emergency drills, delayed spatial reconstruction
Shanshan Yu +6 more
doaj +1 more source

