Results 31 to 40 of about 5,332,049 (311)
Multi-Concept Customization of Text-to-Image Diffusion [PDF]
While generative models produce high-quality images of concepts learned from a large-scale database, a user often wishes to synthesize instantiations of their own concepts (for example, their family, pets, or items).
Nupur Kumari +4 more
semanticscholar +1 more source
Intercomparison of In Situ Sensors for Ground-Based Land Surface Temperature Measurements
Land surface temperature (LST) is a key variable in the determination of land surface energy exchange processes from local to global scales. Accurate ground measurements of LST are necessary for a number of applications including validation of satellite ...
Praveena Krishnan +5 more
doaj +1 more source
MVDream: Multi-view Diffusion for 3D Generation [PDF]
We introduce MVDream, a diffusion model that is able to generate consistent multi-view images from a given text prompt. Learning from both 2D and 3D data, a multi-view diffusion model can achieve the generalizability of 2D diffusion models and the ...
Yichun Shi +5 more
semanticscholar +1 more source
Human Motion Diffusion Model [PDF]
Natural and expressive human motion generation is the holy grail of computer animation. It is a challenging task, due to the diversity of possible motion, human perceptual sensitivity to it, and the difficulty of accurately describing it.
Guy Tevet +5 more
semanticscholar +1 more source
The phase-field model based on the Cahn-Hilliard equation is employed to simulate lithium intercalation dynamics in a cathode with particles of distributed size.
Pavel L’vov, Renat Sibatov
doaj +1 more source
Tumor types are classically distinguished based on biopsies of the tumor itself, as well as a radiological interpretation using diverse MRI modalities.
Zahra Riahi Samani +5 more
doaj +1 more source
Pseudo-capacitors with electrodes based on polyaniline and vertically aligned multiwalled carbon nanotubes (PANI/VA-MWCNT) composite are studied. Fractional differential models of supercapacitors are briefly discussed.
Igor O. Yavtushenko +4 more
doaj +1 more source
Training Diffusion Models with Reinforcement Learning [PDF]
Diffusion models are a class of flexible generative models trained with an approximation to the log-likelihood objective. However, most use cases of diffusion models are not concerned with likelihoods, but instead with downstream objectives such as human-
Kevin Black +4 more
semanticscholar +1 more source
Artificial intelligence-based locoregional markers of brain peritumoral microenvironment
In malignant primary brain tumors, cancer cells infiltrate into the peritumoral brain structures which results in inevitable recurrence. Quantitative assessment of infiltrative heterogeneity in the peritumoral region, the area where biopsy or resection ...
Zahra Riahi Samani +6 more
doaj +1 more source
A new reference-quality precipitation gauge wind shield [PDF]
Gauge-based precipitation measurements suffer from undercatch due to the effects of wind, with solid-precipitation measurements especially susceptible to such errors.
J. Kochendorfer +5 more
doaj +1 more source

