Latest AI and machine learning research in psoriasis for healthcare professionals.
Inverse problems for partial differential equations (PDEs) are crucial in numerous applications su...
3D Gaussian Splatting shows great potential in reconstructing photo-realistic 3D scenes. However, ...
Models are often evaluated when their behavior is at its closest to a single, sometimes averaged, se...
When performing tasks like laundry, humans naturally coordinate both hands to manipulate objects a...
Concentrating Solar Power (CSP) plants are a key technology in the transition toward sustainable e...
Problems in differentiable rendering often involve optimizing scene parameters that cause motion i...
Blind inverse problems in imaging arise from uncertainties in the system used to collect (noisy) m...
Federated learning (FL) for time series forecasting (TSF) enables clients with privacy-sensitive t...
Inverse rendering aims to recover scene geometry, material properties, and lighting from multi-vie...
Radio-Frequency (RF) imaging concerns the digital recreation of the surfaces of scene objects base...
Text-to-image latent diffusion models (LDMs) have recently emerged as powerful generative models w...
Plug-and-play diffusion priors (PnPDP) have emerged as a promising research direction for solving ...
We present GroomLight, a novel method for relightable hair appearance modeling from multi-view ima...
We propose a diffusion-based inverse rendering framework that decomposes a single RGB image into g...
This paper aims to solve numerically the two-dimensional inverse medium scattering problem with fa...
Most existing learning-based methods for solving imaging inverse problems can be roughly divided i...
Flow matching is a recent state-of-the-art framework for generative modeling based on ordinary dif...
Inverse design approach, which directly generates optimal aerodynamic shape with neural network mo...
Individual treatment effect (ITE) estimation is to evaluate the causal effects of treatment strate...
4D Flow MRI is the state of the art technique for measuring blood flow, and it provides valuable i...
In recent years, the ascendance of diffusion modeling as a state-of-the-art generative modeling ap...