Two studies fill in gaps about the cosmos’s ordinary matter. One maps it all, even the “missing matter.” The other details one of its hiding spots.

In this letter, denoising diffusion implicit models (DDIM), a computation-efficient class of probabilistic diffusion models, are proposed for improving the reconstruction performance of end-users in ...

Biopolymer networks having a meshwork topology, e.g., extracellular matrices and mucus gels, are ubiquitous. Understanding the diffusion mechanism of self-propelled agents, including Janus colloidal ...

In the limit of a vanishing critical temperature and weak attraction, the splitting of SALR fluids into colloid-poor (gas) and colloid-rich (liquid) phases—known as the gas–liquid phase separation ...

This diffusion‑limited regime likely dominates for fluffier aggregates made of phytoplankton remains, fecal pellets, or ...

In this paper, we introduce a randomness-restricted diffusion model for multiple ocular surface structure segmentation. First, a time-controlled fusion-attention module (TFM) is proposed to ...

Both the inverse and forward renderers are video diffusion models trained on a combination of curated synthetic datasets and auto-labeled real-world videos. Unlike classic PBR, which relies on precise ...

The configs here: --checkpoint_dir specifies the directory containing model checkpoints, use default checkpoints/. --diffusion_transformer_dir selects the specific model variant to use. --dataset_path ...